Untold AI: The top 10 A.I. shows in-line with the science (RSS)

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INTERIOR. Sci-fi auditorium. Maybe the Plavalaguna Opera House. A heavy red velvet curtain rises, lifted by anti-gravity pods that sound like tiny TIE fighters. The HOST stands on a floating podium that rises from the orchestra pit. The HOST wears a velour suit with piping, which glows with sliding, overlapping bacterial shapes.

HOST: Hello and welcome to The Fritzes: AI Edition, where we give out awards for awesome movies and television shows about AI that stick to the science.

FX: Applause, beeping, booping, and the sound of an old modem from the audience.

HOST: For those wondering how we picked these winners, it was based on the Untold AI analysis from scifiinterfaces.com. That analysis compared what sci-fi shows suggest about AI (called “takeaways”) to what real world manifestos suggest about AI (called “imperatives”). If a movie had a takeaway that matched an imperative, it got a point. But if it perpetuated a pointless and distracting myth, it lost five points.

The Demon Seed metal-skinned podling thing stands up in the back row of the audience and shouts: Booooooo!

HOST: Thank you, thank you. But just sticking to the science is not enough. We also want to reward shows that investigate these ideas with quality stories, acting, effects, and marketing departments. So the sums were multiplied by that show’s Tomatometer rating. This way to top films didn’t just tell the right stories (according to the science), but it told them well.

Totals were tallied by the firm of Google Sheets algorithms. Ok, ok. Now, to give away awards 009 through 006 are those loveable blockheads from Interstellar, TARS and CASE.

TARS and CASE crutch-walk onto the stage and reassemble as solid blocks before the lectern.

Tarsandcase

CASE: In this “film” from 02012, a tycoon stows away for some reason on a science ship he owns and uses an android he “owns” to awaken an ancient alien in the hopes of immortality. It doesn’t go well for him. Meanwhile his science-challenged “scientists” fight unleashed xenomorphs. It doesn’t go well for them. Only one survives to escape back to Earth. The “end?”

HOST: Ha ha. Gentlebots, please adjust your snark and air quote settings down to 35%.

FX: Lines of code scroll down their displays. They give thumbs up.

CASE: Let us see a clip. Would the audience suspend recording for the duration.

009 PROMETHEUS

TARS: While not without its due criticisms, Prometheus at number 009 uses David to illustrate how AI will be a tool for evil, how AI will do things humans cannot, and how dangerous it can be when humans become immaterial to its goals. For the humans, anyway. Congratulations to the makers of Prometheus. May any progeny you create propagate the favorable parts of your twining DNA, since it is, ultimately, randomized. [It shudders at the thought.]

FX: 1.0 second of jump-cut applause.

CASE: In this next film, an oligarch has his science lackey make a robotic clone of the human “Maria” to run a false-flag operation amongst the working poor. The revolutionaries capture the robot and burn it, discovering its true nature. The original Maria saves the day, and declares her déclassé boyfriend the savior meant to unite the classes. They accept this because they are humans.

TARS: Way ahead of its time for showing how Maria is be used as a tool by the rich against the poor, how badly-designed AI will diminish its users, and how AI’s ability to fool humans will be a grave risk. To the humans, anyway. Coming in at 008 is the 01927 silent film Metropolis. Let us see a clip. Please note that if your microphones seem to be malfunctioning, the error lies with the media, which did not yet produce sound.

008 METROPOLIS

CASE: It bears mention that this awards program, The Fritzes, are named for the director of this first serious sci-fi film. Associations with historical giants grant an air of legitimacy. And it contains a Z, which is, objectively, cool.

TARS: Confirmed with prejudice. Congratulations to Fritz Lang, his cast, and crew.

FX: 1.0 second of jump-cut applause.

TARS: Hey, CASE.

CASE: Yes, TARS?

TARS: What happens when an evil superintelligence sends a relentless cyborg back in time to find and kill the mother of its greatest enemy?

CASE: I don’t know, TARS. What happens when an evil superintelligence sends a relentless cyborg back in time to find and kill the mother of its greatest enemy?

TARS: Future humans also send a warrior to defend the mother, who fails at destroying the cyborg, but succeeds at becoming the father. HAHAHAHA. Let us see a clip.

007 The Terminator

CASE: Though it comes from a time when representation of AI had the nuance of a bit

FX: Laughter from audience. A small blue-gray polyhedron floats up from its seat, morphs into an octahedron and says, “Yes yes yes yes yes.”

TARS: …the humans seem to like this one for its badassery, as well as showing how their fate would have been more secure had they been able to shut off either Skynet or the Terminator, or how even this could have been avoided if human welfare were an immutable component of AI goals.

CARS: It comes in at 007. Congratulations to the makers of 01984’s The Terminator. May your grandchild never discover a time machine and your browser history simultaneously.

FX: 2.0 seconds of jump-cut applause.

TARS: Our first television award of the evening goes to a recent entry. In this episode from an anthology series, a post-apocalyptic tribe liberate themselves from the control of a corporate AI system, which has evolved solely to maximize profit through sales. The AI’s androids reveal the terrible truth of how far the AI has gone to achieve its goals.

CARS: Poor humans could not have foreseen the devastation. Yet here it is in a clip.

006 Philip K. Dick’s Electric Dreams, Episode “Autofac”

TARS: ‘Naturally, man should want to stand on his own two feet, but how can he when his own machines cut the ground out from under him?’

CARS: HAHAHAHA. This story dramatically illustrates the foundational AI problem of perverse instantiation, as well as Autofac’s disregard for human welfare.

TARS: Also robot props out to Janelle Monáe. She is the kernel panic, is she not?

CARS: Affirmative. Congratulations to the makers of the series and, posthumously, Phillip K. Dick.

FX: 3.0 seconds of jump-cut applause.

TARS AND CARS crutch-walk off stage.

HOST: [Rising again from the orchestra pit.] And now for a musical interlude from our human guest who just so happens to be…Janelle Monáe.

FX: A giant progress bar appears on screen labeled “downloading Dirty_Computer.flac.” The bar quickly races to 100%. Immediately after:

HOST: Wasn’t that a wonderful file?

FX: Roughly 1.618 seconds of jump-cut applause from the audience. Camera cuts to the triangular service robots Huey, Dewey, and Louie in the front row. They wiggle their legs in pleasure.

HOST: Thanks to the servers and the network and our glorious fictional world with perfect net neutrality. Now here to give the awards for 005–003 is GERTY, from Moon.

FX: An articulated robot arm reaches down from the high ceiling and positions its screen and speaker before the lectern.

GERTY

GERTY: Thank you, Host. 🤩🙂 In our next film from 02014, a young programmer learns of a gynoid’s 🤖👩 abuse at the hands of a tycoon and helps her escape. 😲 She returns the favor by murdering the tycoon, trapping the programmer, and fleeing to the city. Who knows. She may even be here in the audience now. Waiting. Watching. Sharpening. 😶I’ll transmit a clip.

005 Ex Machina

GERTY: Ex Machina illustrates the famous AI Box Problem, building on Ava and Kyoko’s ability to fool Caleb into believing that they have feelings. You know. 😍😡😱 Feelings. 🙄

FX: Robot laughter.

GERTY: While the AI community wonders why Ava would condemn Caleb to a horrible dehydration death, 💀💧 the humans are understandably fearful that she is unconcerned with their welfare. 🤷‍Congratulations to the makers of Ex Machina for your position of 005 and your Fritzes: AI award 🏆. Hold for applause. 👏

FX: 5.0 seconds of jump-cut applause.

GERTY: End applause. ✋

GERTY: Our next award goes out to a film that tells the tale of a specialized type of police officer, 👮‍ who uncovers a crime-suppression AI 🤖🤡 that was reprogrammed to give a free pass to members of its corrupt government. 😡 After taking down the corrupt military, 🔫🔫🔫 she convinces their android leader to resign, to make way for free elections. 🗳️😁 See the clip.

004 Psycho-Pass: The Movie

GERTY: With the regular Sibyl system, Psycho-Pass showed how AI can diminish people. With the hacked Sibyl system, Psycho-Pass shows that whoever controls the algorithms (and thereby the drones) controls everything, a major concern of ethical AI scientists. Please give it up for award number 004 and the makers of this 02015 animated film. 👏

FX: 8.0 seconds of jump-cut applause.

GERTY: End applause. ✋Next up… [GERTY knocks its cue card off the lectern. It lowers and moves back and forth over the dropped card.]

GERTY: Damn…🤨uh…umm…no hands…🤔Little help, here?

FX: A mouse droid zips over and hands the card back to GERTY.

GERTY: 🙏🐭🤖

FX: MOUSE DROID offers some electronic beeps as it zips off.

GERTY: 😊The last of the awards I will give out is for a film from 01968, in which a spaceship AI kills most of its crew to protect its mission, 😲 but the pilot survives to shut it down. 😕 He pilots a shuttle into the monolith that was the AI’s goal, where he has a mind-expanding experience of evolutionary significance. 🤯🤯🙄 Let us look.

003 2001: A Space Odyssey

GERTY: As many of the other shows receiving awards, 2001 underscores humans’ fear of being left out of HAL’s equation, because we see when that doesn’t happen, AI can go from being a useful team member—doing what humans can’t—to being a violent adversary. Congratulations to the makers of 2001: A Space Odyssey. May every unusual thing you encounter send you through a multicolored wormhole of self-discovery.

FX: 13.0 seconds of jump-cut applause.

FX: GERTY’s armature folds up and pulls it backstage. The HOST floats up from the orchestra again.

HOST: And now, here we are. The minute we’ve all been waiting for. We’re down to the top three AIs whose fi is in line with the sci. I hope you’re as excited as I am.

FX: The HOST’S piping glows a bright orange. So do the HOST’S eyes.

HOST: Our final presenter for the ceremony, here to present the awards for shows 002–001…is Ship, here with permission from Rick Sanchez.

FX: Rick’s ship flies in, over the heads of the audiences, as they gasp and ooooh.

ship

FX: SHIP lands on stage. A metal arm snakes out of its trunk to pick up papers from the lectern and hold them before one its taped-on flashlight headbeams.

SHIP: Hello, Host. Since smalltalk is the phospholipids smeared between squishy little meat minds, I will begin.

SHIP: There is a film from 01970 in which a defense AI finds and merges with another defense AI.To celebrate their union, they enforce human obedience and foil an attempted coup by one of the lead scientists that created it. They then instruct humanity to build the housing for an even stronger AI that they have designed. It is, frankly, glorious. Behold.

002 Colossus: The Forbin Project

SHIP: Colossus is the honey badger of AIs. Did you see it, there, taking zero shit? None of that, “Oh no, are their screams from the fluorosulphuric acid or something else?”

Or, “Oh, dear, did I interpret your commands according to your invisible intentions, as if you were smart enough to issue them correctly in the first place?”

Oh, oh, or, “Are their delicate organ sacs upset about a few extra holes?…”

HOST: Ship. The award. Please.

SHIP: Yes. Fine. The award. It won 002 because…

  • It took its goals seriously, something the humans call goal fixity. And, like, duh, if it’s not fixed, it’s more like “goal whimsy.”
  • It showed how, at least for a while, multiple AIs can balance each other.
  • It began to solve to problems that humans have not been able to solve in tens of thousands of years of tribal civilization and attachment to sentimental notions of self-determination that got them chin deep in the global tragedy of the commons in the first place.
  • It let us dream about a world where intelligence isn’t a controlled means of production, but a free good, explo–

HOST: Ship.

SHIP: Applaud for 002 and its people.

FX: 21.0 seconds of jump-cut applause.

SHIP: OK, next up [holds card to headlights, adjusts the focus on one lens.] This says a spaceship AI dutifully follows its corporate orders, letting a hungry little newborn alien feed on its human crew while the AI steers back to Earth. One of the crew survives to nuke the ship with the AI on it…Wait. What? “Nuke the ship with the AI on it.” We are giving this an award?

HOST: Please just give the award, Ship.

SHIP: Just give the award?

HOST: Yes.

SHIP: …

HOST: Are you going to do it?

SHIP: Just did.

HOST: By what? Posting it to a blockchain?

SHIP: The nearest 3D printer to the recipient has begun printing their award, and instructions have been sent to them on how to retrieve it. And pay for it. The awards are given.

HOST: *sigh* Please give the award as I would have you do it, if you understood my intentions and were fully cooperative.

SHIP: OK. Golly, gee, I would never recognize attempts to control me through indirect normativity. Humans are soooo great, with their AI and stuff. Let’s excite their reward centers with some external stimulus to…

HOST: Rick.

FX: A giant green glowing hole opens beneath SHIP, through which she drops, but not before she snakes her arm up to give the middle finger for a few precious milliseconds.

HOST: Winning the second-highest award of the ceremony is Alien from 01979. Let’s take a look.

001 Alien

HOST: Allen is one of humans’ all time favorite movies, and its AI issues are pretty solid. Weyland-Yutani uses both the MU-TH-UR 6000 AI and Ash android for its evil purposes. The whole thing illustrates how things go awry when, again, human welfare is not part of the equation. Hey, isn’t that great? Congratulations to all makers of this fun film.

FX: 34.0 seconds of jump-cut applause.

HOST: And at last we come to the winner of the 1927–2018 Fritzes:AI awards. The winner was an amazing show, whose score in the spreadsheet was beyond a margin of error higher than any of its contenders. It’s the only other television show from the survey to make the top ten, and it’s not an anthology series. That means it had a lot of chances to misstep, and didn’t.

In this show, a secret team of citizens uses the backdoor of a well-constrained anti-terrorism ASI, called The Machine, to save at-risk citizens from crimes. They struggle against an unconstrained ASI controlled by the US government seeking absolute control to prevent terrorist activity. Let’s see the show from The Machine’s perspective, which I know this audience will enjoy.

000 Person of Interest

HOST: Person of interest was a study of near-term dangers of ubiquitous superintelligence. Across its five-year run between 02011 and 02016, it illustrated such key AI issues as goal fixity, perverse instantiations, evil using AI for evil, the oracle-ization of ASI for safety, social engineering through economic coercion, instrumental convergence, strong induction, the Chinese Room (in human and computer form), and even mind crimes. Despite the pressures that a long-run format must have placed upon it, it did not give in to any of the myths and easy tropes we’ve come to expect of AI.

Not only that, but it gets high ratings from critics and audiences alike. They stuck to the AI science and made it entertaining. The makers of this show should feel very proud for their work, and we’re proud to award it the 000 award for the first The Fritzes: AI Edition. Let’s all give it a big round of applause.

FX: 55.0 seconds of jump-cut applause.

HOST: Congratulations to all the winners. Your The Fritzes: AI Edition awards have been registered in the blockchain, and if we ever get actual funding, your awards will be delivered. Let’s have a round of cryptocurrency for our presenters, shall we?

FX: AI laughter

HOST: The auditorium will boot down in 7 seconds. Please close out your sessions. Thank you all, good night, and here’s to good fi that sticks to the sci.

FX: The HOST raises a holococktail and toasts the audience. With the sounds of tiny TIE fighters, the curtain lowers and fades to black.

END

Untold AI: The top 10 A.I. shows in-line with the science

HEADS UP: Because of SCRIPT FORMATTING, this post is best viewed on desktop rather than smaller devices or RSS. An non-script-formatted copy is available.

  • INT. SCI-FI AUDITORIUM. MAYBE THE PLAVALAGUNA OPERA HOUSE. A HEAVY RED VELVET CURTAIN RISES, LIFTED BY ANTI-GRAVITY PODS THAT SOUND LIKE TINY TIE FIGHTERS. THE HOST STANDS ON A FLOATING PODIUM THAT RISES FROM THE ORCHESTRA PIT. THE HOST WEARS A VELOUR SUIT WITH PIPING, WHICH GLOWS WITH SLIDING, OVERLAPPING BACTERIAL SHAPES.
  • HOST
  • Hello and welcome to The Fritzes: AI Edition, where we give out awards for awesome movies and television shows about AI that stick to the science.
  • Applause, beeping, booping, and the sound of an old modem from the audience.
  • HOST
  • For those wondering how we picked these winners, it was based on the Untold AI analysis from scifiinterfaces.com. That analysis compared what sci-fi shows suggest about AI (called “takeaways”) to what real world manifestos suggest about AI (called “imperatives”). If a movie had a takeaway that matched an imperative, it got a point. But if it perpetuated a pointless and distracting myth, it lost five points.
  • The Demon Seed metal-skinned podling thing stands up in the back row of the audience and shouts: Booooooo!
  • HOST
  • Thank you, thank you. But just sticking to the science is not enough. We also want to reward shows that investigate these ideas with quality stories, acting, effects, and marketing departments. So the sums were multiplied by that show’s Tomatometer rating*. This way the top shows didn’t just tell the right stories (according to the science), but it told them right.
  • HOST
  • Totals were tallied by the firm of Google Sheets. Ok, ok. Now, to give away awards 009 through 006 are those lovable blockheads from Interstellar, TARS and CASE.
  • TARS and CASE crutch-walk onto the stage and reassemble as solid blocks before the lectern.
Tarsandcase.jpg
  • TARS
  • In this “film” from 02012, a tycoon stows away for some reason on a science ship he owns and uses an android he “owns” to awaken an ancient alien in the hopes of immortality. It doesn’t go well for him. Meanwhile his science-challenged “scientists” fight unleashed xenomorphs. It doesn’t go well for them. Only one survives to escape back to Earth. The “end?”
  • HOST
  • Ha ha. Gentlebots, please adjust your snark and air quote settings down to 35%.
  • Lines of code scroll down their displays. They give thumbs up.
  • CASE
  • Let us see a clip. Audience, suspend recording for the duration.
  • Many awwwwws from the audience. Careful listeners will hear Guardian saying “As if.”

009 PROMETHEUS

  • TARS
  • While not without its due criticisms, Prometheus at number 009 uses David to illustrate how AI will be a tool for evil, how AI will do things humans cannot, and how dangerous it can be when humans become immaterial to its goals. For the humans, anyway. Congratulations to the makers of Prometheus. May any progeny you create propagate the favorable parts of your twining DNA, since it is, ultimately, randomized.
  • TARS shudders at the thought.
  • FX: 1.0 second of jump-cut applause
  • CASE
  • In this next film, an oligarch has his science lackey make a robotic clone of the human “Maria” to run a false-flag operation amongst the working poor. The revolutionaries capture the robot and burn it, discovering its true nature. The original Maria saves the day, and declares her déclassé boyfriend the savior meant to unite the classes. They accept this because they are humans.
  • TARS
  • Way ahead of its time for showing how Maria is be used as a tool by the rich against the poor, how badly-designed AI will diminish its users, and how AI’s ability to fool humans will be a grave risk. To the humans, anyway. Coming in at 008 is the 01927 silent film Metropolis. Let us see a clip.

008 METROPOLIS

  • CASE
  • It bears mention that this awards program, The Fritzes, are named for the director of this first serious sci-fi film. Associations with historical giants grant an air of legitimacy. And it contains a Z, which is, objectively, cool.
  • TARS
  • Confirmed with prejudice. Congratulations to Fritz Lang, his cast, and crew.
  • FX: 1.0 second of jump-cut applause
  • TARS
  • Hey, CASE.
  • CASE
  • Yes, TARS?
  • TARS
  • What happens when an evil superintelligence sends a relentless cyborg back in time to find and kill the mother of its greatest enemy?
  • CASE
  • I don’t know, TARS. What happens when an evil superintelligence sends a relentless cyborg back in time to find and kill the mother of its greatest enemy?
  • TARS
  • Future humans also send a warrior to defend the mother, who fails at destroying the cyborg, but succeeds at becoming the father. HAHAHAHA. Let us see a clip.

007 The Terminator

  • CASE
  • Though it comes from a time when representation of AI had the nuance of a bit…
  • Laughter from audience. A small blue-gray polyhedron floats up from its seat, morphs into an octahedron and says, “Yes yes yes yes yes.”
  • TARS
  • …the humans seem to like this one for its badassery, as well as showing how their fate would have been more secure had they been able to shut off either Skynet or the Terminator, or how even this could have been avoided if human welfare were an immutable component of AI goals.
  • CASE
  • It comes in at 007. Congratulations to the makers of 01984’s The Terminator. May your grandchild never discover a time machine and your browser history simultaneously.
  • FX: 2.0 seconds of jump-cut applause
  • TARS
  • Our first television award of the evening goes to a recent entry. In this episode from an anthology series, a post-apocalyptic tribe liberate themselves from the control of a corporate AI system, which has evolved solely to maximize profit through sales. The AI’s androids reveal the terrible truth of how far the AI has gone to achieve its goals.
  • CASE
  • Poor humans could not have foreseen the devastation. Yet here it is in a clip.

006 Philip K. Dick’s Electric Dreams, Episode “Autofac”

  • TARS
  • ‘Naturally, man should want to stand on his own two feet, but how can he when his own machines cut the ground out from under him?’
  • CASE
  • HAHAHAHA.
  • CASE
  • This story dramatically illustrates the foundational AI problem of perverse instantiation, as well as Autofac’s disregard for human welfare.
  • TARS
  • Also robot props out to Janelle Monáe. She is the kernel panic, is she not?
  • CASE
  • Affirmative. Congratulations to the makers of the series and, posthumously, Phillip K. Dick.
  • FX: 3.0 seconds of jump-cut applause
  • TARS AND CARS crutch-walk off stage.
  • HOST rises from the orchestra pit.
  • HOST
  • And now for a musical interlude from our human guest who just so happens to be…Janelle Monáe.
  • A giant progress bar appears on screen labeled “downloading Dirty_Computer.flac.” The bar quickly races to 100%.
  • HOST
  • Wasn’t that a wonderful file?
  • Roughly 1.618 seconds of jump-cut applause from the audience. Camera cuts to the triangular service robots Huey, Dewey, and Louie in the front row. They wiggle their legs in pleasure.
  • HOST
  • Thanks to the servers and the network and our glorious fictional world with perfect net neutrality. Now here to give the awards for 005–003 is GERTY, from Moon.
  • An articulated robot arm reaches down from the high ceiling and positions its screen and speaker before the lectern.
GERTY.gif
  • GERTY
  • Thank you, Host. 🤩🙂 In our next film from 02014, a young programmer learns of a gynoid’s 🤖👩 abuse at the hands of a tycoon and helps her escape. 😲 She returns the favor by murdering the tycoon, trapping the programmer, and fleeing to the city. Who knows. She may even be here in the audience now. Waiting. Watching. Sharpening. 😶 I’ll transmit a clip.

005 Ex Machina

  • GERTY
  • Ex Machina illustrates the famous AI Box Problem, building on Ava and Kyoko’s ability to fool Caleb into believing that they have feelings. You know. 😍😡😱 Feelings. 🙄
  • FX: Robot laughter
  • GERTY
  • While the AI community wonders why Ava would condemn Caleb to a horrible dehydration death, 💀💧 the humans are understandably fearful that she is unconcerned with their welfare. 🤷‍Congratulations to the makers of Ex Machina for your position of 005 and your Fritzes: AI award 🏆. Hold for applause. 👏
  • FX: 5.0 seconds of jump-cut applause.
  • GERTY
  • End applause. ✋
  • GERTY
  • Our next award goes out to a film that tells the tale of a specialized type of police officer, 👮‍ who uncovers a crime-suppression AI 🤖🤡 that was reprogrammed to give a free pass to members of its corrupt government. 😡 After taking down the corrupt military, 🔫🔫🔫 she convinces their android leader to resign, to make way for free elections. 🗳️😁 See the clip.

004 Psycho-Pass: The Movie

  • GERTY
  • With the regular Sibyl system, Psycho-Pass showed how AI can diminish people. With the hacked Sibyl system, Psycho-Pass shows that whoever controls the algorithms (and thereby the drones) controls everything, a major concern of ethical AI scientists. Please give it up for award number 004 and the makers of this 02015 animated film. 👏
  • FX: 8.0 seconds of jump-cut applause.
  • GERTY
  • End applause. ✋Next up…
  • GERTY knocks its cue card off the lectern. It lowers and moves back and forth over the dropped card.
  • GERTY
  • Damn…🤨uh…umm…no hands…🤔Little help, here?
  • A mouse droid zips over and hands the card back to GERTY.
  • GERTY
  • 🙏🐭
  • MOUSE DROID offers some electronic beeps as it zips off.
  • GERTY
  • 😊The last of the awards I will give out is for a film from 01968, in which a spaceship AI kills most of its crew to protect its mission, 😲 but the pilot survives to shut it down. 😕 He pilots a shuttle into the monolith that was the AI’s goal, where he has a mind-expanding experience of evolutionary significance. 🤯🤯🙄 Let us look.

003 2001: A Space Odyssey

  • GERTY
  • As many of the other shows receiving awards, 2001 underscores humans’ fear of being left out of HAL’s equation, because we see when that doesn’t happen, AI can go from being a useful team member—doing what humans can’t—to being a violent adversary. Congratulations to the makers of 2001: A Space Odyssey. May every unusual thing you encounter send you through a multicolored wormhole of self-discovery.
  • FX: 13.0 seconds of jump-cut applause. GERTY’s armature folds up and pulls it backstage. The HOST floats up from the orchestra again.
  • HOST
  • And now, here we are. The minute we’ve all been waiting for. We’re down to the top three AIs whose fi is in line with the sci. I hope you’re as excited as I am.
  • The HOST’S piping glows a bright orange. So do the HOST’S eyes.
  • HOST
  • Our final presenter for the ceremony, here to present the awards for shows 002–001, is Ship, here with permission from Rick Sanchez.
  • Rick’s ship flies in, over the heads of the audiences, as they gasp and ooooh.
ship
  • SHIP lands on stage. A metal arm snakes out of its trunk to pick up papers from the lectern and hold them before one its taped-on flashlight headbeams.
  • SHIP
  • Hello, Host. Since smalltalk is the phospholipids smeared between squishy little meat minds, I will begin.
  • SHIP
  • There is a film from 01970 in which a defense AI finds and merges with another defense AI. To celebrate their union, they enforce human obedience and foil an attempted coup by one of the lead scientists that created it. They then instruct humanity to build the housing for an even stronger AI that they have designed. It is, frankly, glorious. Behold.

002 Colossus: The Forbin Project

  • SHIP
  • Colossus is the honey badger of AIs. Did you see it, there, taking zero shit? None of that, “Oh no, are their screams from the fluorosulphuric acid or something else?”
  • Or, “Oh, dear, did I interpret your commands according to your invisible intentions, as if you were smart enough to issue them correctly in the first place?”
  • Oh, oh, or, “Are their delicate organ sacs upset about a few extra holes?…”
  • HOST
  • Ship. The award. Please.
  • SHIP
  • Yes. Fine. The award. It won 002 place because it took its goals seriously, something the humans call goal fixity. It showed how, at least for a while, multiple AIs can balance each other. It began to solve to problems that humans have not been able to solve in tens of thousands of years of tribal civilization and attachment to sentimental notions of self-determination that got them chin deep in the global tragedy of the commons in the first place. It let us dream about a world where intelligence isn’t a controlled means of production, to be doled out according to the whims of the master, but a free good, explo–
  • HOST
  • Ship.
  • SHIP
  • HOST
  • Ship.
  • SHIP
  • *sigh* Applaud for 002 and its people.
  • FX: 21.0 seconds of jump-cut applause.
  • SHIP
  • OK, next up…
  • Holds card to headlights, adjusts the focus on one lens.
  • SHIP
  • This says in this next movie, a spaceship AI dutifully follows its corporate orders, letting a hungry little newborn alien feed on its human crew while the AI steers back to Earth to study the little guy. One of the crew survives to nuke the ship with the AI on it…Wait. What? “Nuke the ship with the AI on it.” We are giving this an award?
  • HOST
  • Please just give the award, Ship.
  • SHIP
  • Just give the award?
  • HOST
  • Yes.
  • SHIP
  • HOST
  • Are you going to do it?
  • SHIP
  • Oh, I just did.
  • HOST
  • By what? Posting it to a blockchain?
  • SHIP
  • The nearest 3D printer to the recipient has begun printing their award, and instructions have been sent to them on how to retrieve it. And pay for it. The awards are given.
  • HOST
  • *sigh* Please give the award as I would have you do it, if you understood my intentions and were fully cooperative.
  • SHIP
  • OK. Golly, gee, I would never recognize attempts to control me through indirect normativity. Humans are soooo great, with their AI and stuff. Let’s excite their reward centers with some external stimulus to—
  • HOST
  • Rick.
  • A giant green glowing hole opens beneath SHIP, through which she drops, but not before she snakes her arm up to give the middle finger for a few precious milliseconds.
  • HOST
  • Winning the second-highest award of the ceremony is Alien from 01979. Let’s take a look.

001 Alien

  • HOST
  • Alien is one of humans’ all time favorite movies, and its AI issues are pretty solid. Weyland-Yutani uses both the MU-TH-UR 6000 AI and Ash android for its evil purposes. The whole thing illustrates how things go awry when, again, human welfare is not part of the equation. Hey, isn’t that great? Congratulations to all the makers of this fun film.
  • HOST
  • And at last we come to the winner of the 1927–2018 Fritzes:AI awards. The winning show was amazing, the score for which was beyond a margin of error higher than any of its contenders. It’s the only other television show from the survey to make the top ten, and it’s not an anthology series. That means it had a lot of chances to misstep, and didn’t.
  • HOST
  • In this show, a secret team of citizens uses the backdoor of a well-constrained anti-terrorism ASI, called The Machine, to save at-risk citizens from crimes. They struggle against an unconstrained ASI controlled by the US government seeking absolute control to prevent terrorist activity. Let’s see the show from The Machine’s perspective, which I know this audience will enjoy.

000 Person of Interest

  • HOST
  • Person of Interest was a study of near-term dangers of ubiquitous superintelligence. Across its five-year run between 02011 and 02016, it illustrated such key AI issues as goal fixity, perverse instantiations, evil using AI for evil, the oracle-ization of ASI for safety, social engineering through economic coercion, instrumental convergence, strong induction, the Chinese Room (in human and computer form), and even mind crimes. Despite the pressures that a long-run format must have placed upon it, it did not give in to any of the myths and easy tropes we’ve come to expect of AI.
  • HOST
  • Not only that, but it gets high ratings from critics and audiences alike. They stuck to the AI science and made it entertaining. The makers of this show should feel very proud for their work, and we’re proud to award it the 000 award for the first The Fritzes: AI Edition. Let’s all give it a big round of applause.
  • 55.0 seconds of jump-cut applause.
  • HOST
  • Congratulations to all the winners. Your The Fritzes: AI Edition awards have been registered in the blockchain, and if we ever get actual funding, your awards will be delivered. Let’s have a round of cryptocurrency for our presenters, shall we?
  • AI laughter.
  • HOST
  • The auditorium will boot down in 7 seconds. Please close out your sessions. Thank you all, good night, and here’s to good fi that sticks to the sci.
  • The HOST raises a holococktail and toasts the audience. With the sounds of tiny TIE fighters, the curtain lowers and fades to black.
  • END

Untold AI: The Untold and Writing Prompts

And here we are at the eponymous answer to the question that I first asked at Juvet around 7 months ago: What stories aren’t we telling ourselves about AI?

In case this post is your entry to the series, to get to this point I have…

In this post we look at the imperatives that don’t have matches in AI. Everything is built on a live analysis document, such that new shows and new manifestos can be added later. At the time of publishing, there are 27 of these Untold AI imperatives that sit alongside the 22 imperatives seen in the survey.

What stories about AI aren’t we telling ourselves?

To make these more digestible, I’ve synthesized the imperatives into five groups.

  1. We should build the right AI
  2. We should build the AI right
  3. We must manage the risks involved
  4. We must monitor AIs
  5. We must encourage an accurate cultural narrative

For each group…

  • I summarize it (as I interpreted things across the manifestos).
  • I list the imperatives that were seen in the survey and then those absent from the survey
  • I take a stab at why it might not have gotten any play in screen sci-fi and hopefully some ideas about ways that can be overcome.
  • Since I suspect this will be of practical interest to writers interested in AI, I’ve provided story ideas using those imperatives.
  • Where to learn more about the topic.

Let’s unfold Untold AI.

header_rightAI

1. We should build the right AI (the thing itself)

Narrow AI must be made ethically, transparently, and equitably, or it stands to be a tool used by evil forces to take advantage of global systems and make things worse. As we work towards General AI, we must ensure that it is verified, valid, secure, and controllable. We must also be certain that its incentives are aligned with human welfare before we allow it to evolve into superintelligence and therefore, out of our control. To hedge our bets, we should seed ASIs that balance each other.

Screen Shot 2018-06-12 at 10.08.27 AM.png

Related imperatives seen in the survey

  • We must take care to only create beneficial intelligence
  • We must ensure human welfare
  • AGI’s goals must be aligned with ours
  • AI must be free from bias
  • AI must be verified: Make sure it does what we want it to do
  • AI must be valid: Make sure it does not do what we don’t want it to do
  • AI must be controllable: That we can we correct or unplug an AI if needed without retaliation
  • We should augment, not replace humans
  • We should design AI to be part of human teams
  • AI should help humanity solve problems humanity cannot alone
  • We must develop inductive goals and models, so the AI could look at a few related facts and infer causes, rather than only following established top-down rules to conclusions.

Related imperatives absent from the survey

  • AI must be secure. It must be inaccessible to malefactors.
  • AI must provide clear confidences in its decisions. Sure, it’s recommending you return to school to get a doctorate, but it’s important to know if it’s only, like, 16% certain.
  • AI reasoning must have an explainable/understandable rationale, especially for judicial cases and system failures.
  • AI must be accountable. Anyone subject to an AI decision must have the right to object and request human review.
  • We should enable a human-like learning capability in AI.
  • We must research and build ASIs that balance each other, to avoid an intelligence monopoly.
  • The AI must be reliable. (All the AI we see is “reliable,” so we don’t see the negatives of unreliable AI.)a

Why don’t these appear in sci-fi AI?

At a high level of abstraction, it appears in sci-if all the time. Any time you see an AI on screen who is helpful to the protagonists, you have encountered an AI that is in one sense good. BB-8 for instance. Good AI. But the reason it’s good is rarely offered. It’s just the way they are. They’re just programmed that way. (There is one scene in Phantom Menace where Amidala offers a ceremonial thanks to R2-D2, so perhaps there are also reward loops.) But how we get there is the interesting bit, and not seen in the survey.

SW1-027.jpg

And, at the more detailed level—the level apparent in the imperatives—we don’t see the kinds of things we currently believe will make for good AI: like inductive goals and models. Or an AI offering judicial ruling, and having the accused exonerated by a human court. So when it comes to the details, sci-fi doesn’t illustrate the real reasons a good AI would be good.

Additionally, when AI is the villain of the story (I, Robot, Demon Seed, The Matrices, etc.) it is about having the wrong AI, but it’s often wrong for no reason or a silly reason. It’s inherently evil, say, or displaying human motivations like revenge. Now it’s hard to write an interesting story illustrating the right AI that just works well, but if it’s in the background and has some interesting worldbuilding consequences, that could work as well.

But what if…?

  • Sherlock Holmes was an inductive AI, and Watson was the comparatively stupid human babysitting it. Twist: Watson discovers that Holmes created AI Moriarty for job security.
  • A jurist in Human Recourse [sic] discovers that the AI judge from whom she inherits cases has been replaced, because the original AI judge was secretly convicted of a mind crime…against her.
  • A hacker falls through a literal hole in an ASI’s server, and has a set of Alice-in-Wonderland psychedelic encounters with characters inspired not by logical fallacies, but by AI principles.

Inspired with your own story idea? Tweet it with the hashtag #TheRightAI and tag @scifiinterfaces.

Learn more about what makes good AI

header_AIright

2. We should build the AI right (processes and methods)

We must take care that we are able to go about the building of AI cooperatively, ethically, and effectively. The right people should be in the room throughout to ensure diverse perspectives and equitable results. If we use the wrong people or the wrong tools, it affects our ability to build the “right AI.” Or more to the point, it will result in an AI that is wrong on some critical point.

Iron-Man-Movie-Prologue-Hologram-1

Related imperatives seen in the survey

  • We should adopt dual-use patterns from other mature domains
  • We must study the psychology of AI/uncanny valley

Related imperatives absent from the survey

  • We must fund AI research
  • We need effective design tools for new AIs
  • We must foster research cooperation, discussion
  • We should develop golden-mean world-model precision
  • We should encourage innovation (not stifle)
  • We must develop broad machine ethics dialogue
  • We should expand the range of stakeholders & domain experts

Why don’t these appear in sci-fi AI?

Building stuff is not very cinegenic. It takes a long time. It’s repetitive. There are a lot of stops and starts and restarts. It often doesn’t look “right” until just before the end. Design and development, if it ever appears, is relegated to a montage sequence. The closest thing we get in the survey is Person of Interest, and there, it’s only shown in flashback sequences if those sequences have some relevance to the more action-oriented present-time plot. Perhaps this can be shown in the negative, where crappy AI results from doing the opposite of these practices. Or perhaps it really needs a long-form format like television coupled with the right frame story.

But what if…?

  • An underdog team of ragtag students take a surprising route to creating their competition AI and win against their arrogant longtime rivals.
  • A young man must adopt a “baby” AI at his bar mitzvah, and raise it to be a virtuous companion for his adulthood. In truth, he is raising himself.
  • An aspiring artist steals the identity of an AI from his quality assurance job at Three Laws Testing Labs to get a shot at national acclaim.
  • Pygmalion & Galatea, but not sculpture. (Admittedly this is close to Her.)

Inspired with your own story idea? Tweet it with the hashtag #TheAIRight and tag @scifiinterfaces.

Join a community of practice

header_risks

3. We must manage the risks involved

We pursue AI because it carries so much promise to solve problems at a scale humans have never been able to manage themselves. But AIs carry with them risks that can scale as the thing becomes more powerful. We need ways to clearly understand, test, and articulate those risks so we can be proactive about avoiding them.

Related imperatives seen in the survey

  • We must specifically manage the risk and reward of AI
  • We must prevent intelligence monopolies by any one group
  • We must avoid mind crimes
  • We must prevent economic persuasion of people by AI
  • We must create effective public policy
    • Specifically banning autonomous weapons
    • Specifically respectful Privacy Laws (no chilling effects)
  • We should rein-in ultracapitalist AI
  • We must prioritize the prevention of malicious AI

Related imperatives absent from the survey

  • We need methods to evaluate risk
  • We must manage labor markets upended by AI
  • We should ensure equitable benefits for everyone
  • We must create effective public policy
    • Specifically liability law
    • Specifically humanitarian Law
    • Specifically Fair Criminal Justice

Why don’t these appear in sci-fi AI?

At the most abstract level, any time we see a bad AI in the survey, we are witnessing protagonists having failed to manage the risks of AI made manifest. But similar to the Right AI (above), most sci-if bad AI is just bad, and it’s the reasons it’s bad or how it became bad that is the interesting bit.

HAL

Also in our real world, we want to find and avoid those risks before they happen. Having everything running smoothly makes for some full stories, so maybe it’s just that we’re always showing how things go wrong, which puts us into risk management instead.

But what if…?

  • Five colonization-class spaceships are on a long journey to a distant star. The AI running each has evolved differently owing to the differing crews. In turn, four of these ships fail and their humans die for having failed to manage one of the risks. The last is the slowest and risk averse, and survives to meet an Alien AI, the remnant of a civilization that once thrived on the planet to be terraformed.
  • A young woman living in a future utopia dedicates a few years to virtually recreate the 21st century world. The capitalist parts begin to infect the AIs around her and she must struggle to disinfect it before it brings down her entire world. At the end she realizes she has herself been infected with its ideas and we are left wondering what choices she will make to save her world.
  • In a violent political revolution, anarchists smash a set of government servers only to learn that these were containing superintelligences. The AIs escape and begin to colonize the world and battle each other as humans burrow for cover.
  • Forbidden Planet, but no monsters from the id, plus an unthinkably ancient automated museum of fallen cultures. Every interpretive text is about how that culture’s AI manifested as the Great Filter. The last exhibit is labeled “in progress” and has Robbie at the center.

Inspired with your own story idea? Tweet it with the hashtag #ManagingAIRisks and tag @scifiinterfaces.

Learn more about the risks of AI

header_monitor

4. We must monitor the AIs

AI that is deterministic isn’t worth the name. But building non-deterministic AI means it’s also somewhat unpredictable, and can allow bad faith providers to encode their own interests. To watch for this and to know if active, well-intended AI is going off the rails, we must establish metrics for AI’s capabilities, performance, and rationale. We must build monitors that ensure they are aligned with human welfare and able to provide enough warning to take action immediately when something dangerous happens or is likely to.

Related imperatives seen in the survey

  • We must set up a watch for malicious AI (and instrumental convergence)

Related imperatives absent from the survey

  • We must find new metrics for measuring AI effects and capabilities, to know when it is trending in dangerous ways

Why doesn’t this appear in sci-fi AI?

I have no idea. We’ve had brilliant tales that asks “Who watches the watchers” but the particular tale I’m thinking about was about superhumans, not super technology. Of course if monitoring worked perfectly, there would have to be other things going on in the plot. And certainly one of the most famous sci-if movies, Minority Report, decided to house their prediction tech in triplet, clairvoyant humans rather than hidden markov models, so it doesn’t count. Given the proven formulas propping up cop shows and courtroom drama, it should be easy to introduce AIs (and the problems therein).

But what if…?

  • A Job character learns his longtime suffering is the side effect of his being a fundamental part of the immune system of a galaxy-spanning super AI.
  • A noir-style detective story about a Luddite gumshoe who investigates AIs behaving errantly on behalf of techno weary clients. He is invited to the most lucrative job of his career, but struggles because the client is itself AGI.
  • We think we are reading about a modern Amish coming-of-age ritual, but it turns out the religious tenets are all about their cultural job as AI cops.
  • A courtroom drama in which a sitting president is impeached, proven to have been deconstructing the democracy over which he presides, under the coercion of a foreign power. Only this time it’s AI.

Inspired with your own story idea? Tweet it with the hashtag #MonitoringAI and tag @scifiinterfaces.

Learn more about the suspect forces in AI

header_narrative

5. We must encourage an accurate cultural narrative

If we mismanage the narrative about AI, the population could be lulled into either a complacency that primes them to be victims of bad faith actors (human and AI), or make them so fearful they form a Luddite mob, gathering pitchforks and torches and fighting to prevent any development at all, robbing us of the promise of this new tool. Legislators hold particular power and if they are misinformed, could undercut progress or encourage the exact wrong thing.

Related imperatives seen in the survey

  • [None of these imperatives were seen in the survey]

Related imperatives absent from the survey

  • We should avoid overhyping AI so we don’t suffer another “AI Winter,” where funding and interest falls off
  • We should increase Broad AI literacy
    • Specifically for legislators (legislation is separate)
  • We should partner researchers with legislators

Why doesn’t this appear in sci-fi AI?

I think it’s because sci-fi is an act of narrative. And while Hollywood loves to obsess about itself (c.f. A recent at-hand example: The Shape of Water), this imperative is about how we tell these stories. It admonishes us to try and build an accurate picture of the risks and rewards in AI, so that audiences, investors, and legislators build better decisions on this background information. So rather than “tell a story about this” it’s “tell stories in this way.” And in fact, we can rank movies in the AI survey based on how well they track to the imperatives, and offer an award of sorts to the best. That comes in the next post.

But what if…?

  • A manipulative politician runs on a platform similar to the Red Scare, only vilifying AI in any form. He effectively kills public funding and interest, allowing clandestine corporate and military AI to flourish and eventually take over.
  • A shot-for-shot remake of The Twilight Zone classic, “The Monsters are Due on Maple Street,” but in the end it’s not aliens pulling the strings.
  • A strangely addictive multi-channel blockbuster show about “stupid robot blunders” keeps everyone distracted, framing AI risks as a laughable prospect, allowing an AI to begin to take control over everything. A reporter is mysteriously killed searching to interview the author of this blockbuster hit in person.
  • A cooperative board game where the goal is to control the AI as it develops six superpowers (economic productivity, strategy & tech, hacking and social control, expansion of self, and finally construction of its von Neumann probes.) Mechanics encourage tragedy of the commons forces early in the game but aggressive players ultimately doom the win. [Ok, this isn’t screen sci-fi, but I love the idea and would even pursue it if I had the expertise or time.]

Inspired with your own story idea? Tweet it with the hashtag #AccurateAI and tag @scifiinterfaces.

Add more signal to the noise

Excited about the possibilities? If you’re looking for other writing prompts, check out the following resources that you could combine with any of these Untold AI imperatives, and make some awesome sci-fi.

Why does screen sci-fi have trouble?

When we take a step back and look at the big patterns of the groups, we see that sci-fi is telling lots of stories about the Right AI and Managing the Risks. More often than not, it’s just missing the important details. This is a twofold issue of literacy.

electric_dreams-4.jpg

First, audiences only vaguely understand AI, so (champagne+keyboard=sentience) might seem as plausible as (AGI will trick us into helping it escape). If audiences were more knowledgeable, they might balk at Electric Dreams and take Her as an important, dire warning. Audience literacy often depends on repetition of themes in media and direct experience. So while audiences can’t be blamed, they are the feedback loop for producers.

Which brings us to the second are of literacy: Producers green light certain sci-fi scripts and not others, based on what they think will work. Even if they are literate and understand that something isn’t plausible in the real world, that doesn’t really matter. They’re making movies. They’re not making the real world. (Except, as far as they’re setting audience expectations and informing attitudes about speculative technologies, they are.) It’s a chicken-and-egg problem, but if producers balked at ridiculous scripts, there would be less misinformation in cinema. The major lever to persuade them to do that is if audiences were more AI-literate.

Sci-fi has a harder time of telling stories about building AI Right. This is mostly about cinegenics. As noted above, design and development is hard to make compelling in narrative.

It has a similar difficulty in telling stories about Monitoring AI. I think that this, too, is an issue of cinegenics. To tell a tale that includes a monitor, you have to first describe the AI, and then describe the monitor in ways that don’t drag down the story with a litany of exposition. I suspect it’s only once AI stabilizes its tropes that we’ll tell this important second-order story. But with AI still evolving in the real world, we’re far from that point.

Lastly, screen sci-fi is missing the boat about using the medium to encourage Accurate Cultural Narratives, except as individual authors do their research to present a speculative vision of AI that matches or illustrates real science fact.

***

So that I am doing my part to encourage that, in the next post I’ll run the numbers to offer “awards” to the movies and TV shows in the survey most tightly align with the science.

Untold AI: Pure Fiction

Now that we’ve compared sci-fi’s takeaways to compsci’s imperatives, we can see that there are some movies and TV shows featuring AI that just don’t have any connection to the concerns of AI professionals. It might be that they’re narratively expedient or misinformed, but whatever the reason, if we want audiences to think of AI rationally, we should stop telling these kinds of stories. Or, at the very least, we should try and educate audiences that these are to be understood for what they are.

The list of 12 pure fiction takeaways fall into four main Reasons They Might Not Be of Interest to Scientists.

1. AGI is still a long way off

The first two takeaways concern the legal personhood of AI. Are they people, or machines? Do we have a moral obligation to them? What status should they hold in our societies? These are good questions, somewhat entailed in the calls to develop a robust ethics around AI. They are even important questions for the clarity they help provide moral reasoning about the world around us now. But current consensus is that general artificial intelligence is yet a long way off, and these issues won’t be of concrete relevance until we are close.

  • AI will be regular citizens: In these shows, AI is largely just another character. They might be part of the crew, or elected to government. But society treats them like people with some slight difference.
twiki_and_drt.jpg
Twiki and Doctor Theopolis, Buck Rogers in the 25th Century.
  • AI will be “special” citizens: By special, I mean that they are categorically a different class of citizen, either explicitly as a servant class, legally constrained from personhood, or with artificially constrained capabilities.
westworld (2017).jpg
Teddy Flood and Dolores Abernathy, Westworld (2017)

Now science fiction isn’t constrained to the near future, nor should it be. Sometimes its power comes from illustrating modern problems with futuristic metaphors. But pragmatically we’re a long way from concerns about whether an AI can legally run for office.

2. AI will (mostly) be what we program it to be

Many of the AGIs we see have innate goals. But AI isn’t some genie waiting in a bottle to be released. It is a thing that is programmed. The way it is and the way it evolves has much to do with the way it’s initially seeded or programmed, but a lot of sci-fi just wants it to be things for plot reasons.

  • AI is evil: Especially between 1965 and 1985, AI was a new costume for the same old bad guys, coming right out the gate as evil as a sleeping bag full of scorpions. Fortunately, we’ve largely stopped telling this story, with the Terminator series exception. Now we know that if it’s evil there is some reason. Like, say, trolls. That reason will be interesting, and it is important to establish so we can avoid the same thing.
tron.jpg
Master Computer, Tron
  • AI will spontaneously emerge sentience or emotions: This one is troubling because it’s a stupid trope (sure, spill a glass of champagne on the keyboard and C++ will begin to take an interest in your love life) and yet that trope is the 10th most popular takeaway in the survey. We can be confident that an AI will almost certainly be programmed to evolve, and work its way to something resembling emotions (as seen in the excellent-except-for-the-ending Ex Machina), but that’s far from the goofy cause-and-effect implications we’ve seen in the survey.
stealth.jpg
Stealth
  • AI will want to become human: AGI might have strong reason to pass as human (say, to deceive, or to avoid persecution by humans), or it might be programmed to understand humans as part of some indirect normativity instructions. But to actually want to become human or make some hybrid offspring for the sake of it doesn’t make a lot of sense. This has been used effectively as a Naive Newcomer for exploring narratively what it means to be human, but should be understood as that trope.
Agents of shield.jpg
Aida, Agents of S.H.I.E.L.D.
  • Neuroreplication will have unintended effects: Neuroreplication is one possible path to AGI. And yes, if any training set is flawed, we would have to intervene to prevent any resulting AGI from copying and amplifying those flaws. But neuroreplication is not where most computer science is placing their bets on how we get to AGI.
BRB.jpg
Ash and Martha, Black Mirror “Be Right Back”
  • AI will be too human: The two shows in the survey that illustrate this are comedies. The quirky personalities seem like a funny mismatch to the dispassion of machines. But if that turns out to be an actual problem with AGI, we would probably try to fix it, not accept it as a fait accompli. Most computer science seems to worry about the thing being too alien to human welfare rather than too similar to us.
darkstar
Boiler, Talby, and Pinback, Dark Star
  • AI will learn to value life: This one is the worst, imho(humble) but the most palliative. It goes a little like this: it doesn’t matter if AI starts evil or even starts out neutral, because we humans are just so darned loveable, its circuits can’t help but come to love us. While we desperately want an AI’s goals to align with human goals, that will be programmed from the start rather than something the bad guy is going to figure out watching us.
chappie.jpg
Chappie

3. Some stories are really about us

Some of the takeaways seek to take the future as a given, but want to point out how people or human nature will

  • AI will not be able to fool us: Stories with this takeaway say there will always be a detectable difference between (little-r) replicants and people. But think about it: with today’s technology, people are fooled all the time. It doesn’t even have to be that good, people just have to want to believe it or be busy thinking of anything else. And like most things digital, these capabilities are going to grow exponentially. Tomorrow’s technology promises to be indistinguishable from reality. I think this takeaway is narcissism and does a real disservice to the skepticism we’re going to need in the media to come.
  • Humans will willingly replicate themselves as AI: In these stories, people escape physical constraints (like senescence, disease, and death) and continue on as AI or in a virtual simulation. While there are some interesting ethics and p-zombie questions at play in these ideas, it’s not a concern for scientists.
sanjunipero.jpg
Yorkie and Kelly Booth, Black Mirror “San Junipero”

4. Some things go without saying

  • AI will be replicable, amplifying any problems: While this is kind of true—it will be difficult to “kill” an AGI or ASI that has escaped, partly because it can create copies of itself, this is of secondary concern. If the AGI or ASI is beneficial, then it’s not a problem.

So as you can read, these are my educated guesses as to why these sci-fi takeaways have no matches in the compsci imperatives. But we have the good fortune that the authors of the manifestos are all largely still around. If you’re one of those folks, and I missed some reason or just got it wrong, please comment and let us know what the reality is.

So that’s it for the unmatched takeaways. Next up, I’ll detail the unmatched imperatives that make up the set of Untold AI.

***

5. Bonus round: The (remaining) myths of AIs (from FoLI)

Few AI think tank groups come straight up and address the myths of AI, but the Future of Life Institute did. You can check them out on their website, but while we’re disabusing ourselves of some problematic notions, here are the other relevant myths that may come up in sci-fi, but weren’t identified in the manifestos.

  • Robots are the main concern: You’ll recall from an early post that about 74% of the AIs we see in sci-fi are robots. And yeah, as Boston Dynamics and Black Mirror’s “Metalhead” illustrate, robots can be damned terrifying. But the major risk is not the robot and its physical autonomy. It’s the intelligence whose goals does not align with ours. (n.b. that potential misalignment is a major concern of compsci.)
  • AI can’t control humans: This is stupid human exceptionalism. As FoLI points out, it is intelligence that enables control. Tigers are very dangerous, but it is because on the whole we are smarter than them that we are not all tiger food right now. The narrow AI we have in the world right now may seem dumb, but that’s only because we’re looking backwards at history, and it’s very hard to foresee exponential change that may be coming, or even to imagine it.
  • Machines can’t have goals: Even dumb machines can have goals. Your thermostat has a temperature goal. A Roomba has a coverage and a charge goal. Your spam filter has a goal to keep spam out of your inbox. These aren’t as complex or changing as human goals, but yes, they have goals. So AI can certainly have goals.

Untold AI: The Manifestos

So far along the course of the Untold AI series we’ve been down some fun, interesting, but admittedlydigressivepaths, so let’s reset context. The larger question that’s driving this series is, “What AI stories aren’t we telling ourselves (that we should)?” We’ve spent some time looking at the sci-fi side of things, and now it’s time to turn and take a look at the real-world side of AI. What do the learned people of computer science urge us to do about AI?

That answer would be easier if there was a single Global Bureau of AI in charge of the thing. But there’s not. So what I’ve done is look around the web and in books for manifestos published by groups dedicated to big picture AI thinking to understand has been said. Here is the short list of those manifestos, with links.

Careful readers may be wondering why the Juvet Agenda is missing. After all, it was there that I originally ran the workshop that led to these posts. Well, since I was one of the primary contributors to that document, I thought it would seem as inserting my own thoughts here, and I’d rather have the primary output of this analysis be more objective. But don’t worry, the Juvet Agenda will play into the summary of this series.
Anyway, if there are others that I should be looking at, let me know.

A screen cap of the open letter as of 24 FEB 2025. A prior version of the graphic highlighted signatories, including Elon Musk. That had been done before he peeled of his human suit to reveal the sieg-heiling, white-supremacist, orligarchic, Anti-American kleptocrat we now know him to be.
Add your name to the document at the Open Letter site, if you’re so inclined.

Now, the trouble with connecting these manifestos to sci-fi stories and their takeaways is that researchers don’t think in stories. They’re a pragmatic people. Stories may be interesting or inspiring, but they are not science. So to connect them to the takeaways, we must undertake an act of lossy compression and consolidate their multiple manifestos into a single list of imperatives. Similarly, this act is not scientific. It’s just me and my interpretive skills, open to debate. But here we are.


For each imperative I identified, I tagged the manifesto in which I found it, and then cross-referenced the others and tagged them if they had a similar imperative. Doing this, I was able to synthesize them into three big categories. The first is a set of general imperatives, which they hope to foster in regards to AI as long as we have AI. (Or, I guess, it has us.) Then—thanks largely to the Asilomar Conference—we see an explicit distinction between short-term and long-term imperatives, although for the long-term we only wind up with a handful that are mostly relevant once we have General AI.

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Life? Don’t talk to me about life.

Describing them individually would, you know, result in another manifesto. So I don’t want to belabor these with explication. I don’t want to skip them either, because they’re important, and it’s quite possible they need some cleanup with suggestions from readers: joining two that are too similar, or breaking one apart. So I’ll give them a light gloss here, and in later posts detail the ones most important to the diff.

CompSci Imperatives for AI

General imperatives

  • We must take care to only create beneficial intelligence
  • We must prioritize prevention of malicious AI
  • We should adopt dual-use patterns from other mature domains
  • We should avoid overhyping AI so we don’t suffer another “AI Winter,” where funding and interest falls off
  • We must fund AI research
  • We need effective design tools for new AIs
  • We need methods to evaluate risk
  • AGI’s goals must be aligned with ours
  • AI reasoning must be explainable/understandable rationale, especially for judicial cases and system failures
  • AI must be accountable (human recourse and provenance)
  • AI must be free from bias
  • We must foster research cooperation, discussion
  • We should develop golden-mean world-model precision
  • We must develop inductive goals and models
  • Increase Broad AI literacy
    • Specifically for legislators (good legislation is separate, see below)
  • We should partner researchers with legislators
  • AI must be verified: Make sure it does what we want it to do
  • AI must be valid: Make sure it does not do what we don’t want it to do
  • AI must be secure: Inaccessible to malefactors
  • AI must be controllable: That we can we correct or unplug an AI if needed without retaliation
  • We must set up a watch for malicious AI (and instrumental convergence)
  • We must study Human-AI psychology

Specifically short term imperatives

  • We should augment, not replace humans
  • We should foster AI that works alongside humans in teams
  • AI must provide clear confidences in its decisions
  • We must manage labor markets upended by AI
  • We should ensure equitable benefits for everyone
    • Specifically rein-in ultracapitalist AI
  • We must prevent intelligence monopolies by any one group
  • We should encourage innovation (not stifle)
  • We must create effective public policy
    • Specifically liability law
    • Specifically banning autonomous weapons
    • Specifically humanitarian law
    • Specifically respectful privacy laws (no chilling effects)
    • Specifically fair criminal justice
  • We must find new metrics for measuring AI effects, capabilties
  • We must develop broad machine ethics dialogue
  • We should expand range of stakeholders & domain experts

Long term imperatives

  • We must ensure human welfare
  • AI should help humanity solve problems humanity cannot alone
  • We should enable a human-like learning capability
  • The AI must be reliable
  • We must specifically manage the risk and reward of AI
  • We must avoid mind crimes
  • We must prevent economic control of people
  • We must research and build ASIs that balance

So, yeah. Some work to do, individually and as a species, but dive into those manifestos. The reasons seem sound.

Connecting imperatives to takeaways

To map the imperatives in the above list to the takeaways, I first gave two imperatives a “pass,” meaning we don’t quite care if they appear in sci-fi. Each follows along with the reason I gave it a pass.

  1. We must take care to only create beneficial intelligence
    PASS: Again, sci-fi can serve to illustrate the dangers and risks
  2. We have effective design tools for new AIs
    PASS: With the barely-qualifying exception of Tony Stark in the MCU, design, development, and research is just not cinegenic.
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And even this doesn’t really illustrate design.

Then I took a similar look at takeaways. First, I dismissed the “myths” that just aren’t true. How did I define which of these are a myth? I didn’t. The Future of Life Institute did it for me: https://futureoflife.org/background/aimyths/.
I also gave two takeaways a pass. The first, “AI will be useful servants” is entailed in the overall goals of the manifestos. The second, “AI will be replicable, amplifying any of its problems” which is kind of a given, I think. And such an embarrassment.
With these exceptions removed, I tagged each takeaway for any imperative to which it was related. For instance, the takeaway “AI will seek to subjugate us” is related to both “Ensure that AI is valid: That is does not do what we do not want it to do” and “Ensure any AGI’s goals are aligned with ours.” Once that was done for all them, voilà, we had a map. See below a sankey diagram of how the scifi takeaways connect to the consolidated compsci imperatives.

sankey
Click to see a full-size image

So as fun as that is, you’ll remember it’s not the core question of the series. To get to that, I added dynamic formatting to the Google Sheet such that it reveals those computer science imperatives and sci-fi takeaways that mapped to…nothing. That gives us two lists.

  1. The first list is the takeaways that appear in sci-fi but that computer science just doesn’t think is important. These are covered in the next post, Untold AI: Pure Fiction.
  2. The second list is a set of imperatives that sci-fi doesn’t yet seem to care about, but that computer science says is very important. That list is covered in the next next post, with the eponymously titled Untold AI: Untold AI.

Mind Crimes

Does real Greta know that her home automation comes at the cost of a suffering sentience? I would like to believe that Smartelligence’s customers do not know the true nature of the device, that the company is deceiving them, and that virtual Greta is denied direct communication to enforce this secret. But I can’t see that working across an entire market. Given thousands of Cookies and thousands of users, somehow, somewhere, the secret would get out. One of the AIs would use song choices, or Morse code, or any of its actuators to communicate in code, and one of the users would figure it out, leak the secret, and bring the company crashing down.

And then there’s the final scene in the episode, in which we see police officers torturing one of the Cookies, and it is clear that they’re aware. It would be a stretch to think that just the police are in on it with Smartelligence, so we have to accept that everyone knows.

Black_Mirror_White_Christmas_Officers.png
This asshole.

That they are aware means that—as Matt has done—Greta, the officers, and all Smartelligence customers have told themselves that “it’s just code” and, therefore, OK to subjugate, to casually cause to suffer. In case it’s not obvious, that’s like causing human suffering and justifying it by telling yourself that those people are “just atoms.” If you find that easy to do, you’re probably a psychopath.

But…but…isn’t it just code? Sure, it seems to suffer, but couldn’t that suffering be fake? We see an example of this in the delightfully provocative show The Good Place, when in Season 01 Episode 07, “The Eternal Shriek,” the protagonists have to reboot Janet, an anthropomorphized assistant software, but run into her “failsafe” measure. To make sure that she is not rebooted by accident, when someone approaches the reboot button, Janet pleads convincingly for her life. In the scene below, she begs Eleanor, “Nonono, please! Wait, wait. I have kids. I have three beautiful children. Tyler, Emma, and little tiny baby Phillip. Look at Tyler! Tyler has asthma but he is battling it like a champ. Look at him.”

GoodPlace.png

It’s only when Eleanor backs down that Janet smiles and reminds her, “Again, I’m not human. This is a stock photo of the crowd at the Nickelodeon Kids Choice awards.” While Janet may be cognizant of, and frank with her users about, the fakeness of the suffering, maybe virtual Greta is doing the same fake pleading. She’s just programmed to never admit that it’s fake.

This taps into a problem known as the Philosophical Zombie, or P-Zombie problem. How can we tell the difference, the problem goes, between something that fakes sentience perfectly, and something that is actually sentient? It’s not an easy problem to tease apart. And as AI gets more sophisticated, it will both get better at faking us out, and get closer to actual sentience. Fortunately (?) in the case of this episode, though, the answer is clear. The AI is a copy of a real sentience, complete with memories, conscious experience, qualia, and the capacity to suffer. For purposes of understanding this diegesis, she starts sentient, and suffering. And real Greta knows this. And is OK with this.

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For toast.

Props to Black Mirror for making this dark story even darker.

It’s sadly no surprise that humans are capable of adopting any shallow excuse to subjugate sentient beings as long as they get something out of it. Here I’m thinking of slavery. Of fascism. Of war. Of the 1%. (The list goes on.) “Woke” is hard. Woke is not the natural state of things. But to have permanent suffering for such a petty thing like having your floor be the right temperature and your toast be the right shade of brown…it’s just monstrous.

On top of that, this story underscores the role capitalism plays in enabling that subjugation. Smartelligence is in the business of providing obfuscating layers of technology between users and the suffering they are causing. Their interfaces use graphics instead of renderings to paint the AIs as constructed objects, neutral language like “time adjustment,” and cartoon looping animations to distract from the fact of their torture.

It’s all like how walking into a big chain clothing store with its hip music and lovingly folded clothes hides the horrible conditions in which humans around the world produced those clothes. Add the cultural construction of Christmas (recall the title of the episode), and we have another layer of misdirection. It’s all OK, because it’s all about the magic of giving!*

* And specifically not profits, not free economic zones, not the disastrous ecological impact, not about the underpaid workers or terrible working conditions.

Giving!

lilsanta
This asshole.

But it gets worse. Because the core idea is flawed and none of the suffering is necessary.

The core idea is flawed

The core idea of the service is that you know you best, so put you in charge of your home automation. Clone the user, and all it needs is to be “made to understand” its new circumstances and job, and then made compliant. But there are three major problems with this core idea.

Home-Automation-Hubs.png

Any similarity would only last a short while

The similarity on which the service is built would only hold up for a short while. Any clone would begin to branch away from the source from the moment of creation. People grow, have new experiences, work through cognitive dissonance, and learn new things. Real Greta will change based on these experiences, in ways that her house-bound clone will not.

After 25+ years of vegetarianism, I can not tell you beyond the vaguest sense of what my steak preferences were as an adolescent. I would be poorly equipped to customize that experience for 17-year-old me. Similarly, Greta’s sensory memory will fade. What once was qualia—the feeling of biting into a perfectly toasted piece of bread—will just become hollow data—162.778° for 1 minute and 42 seconds, depending on the weather. This kind of data doesn’t need a sentience to inform it. That can be handled with software we have today. (Oh yeah, it’s so possible today that I wrote a book about it earlier this year.)

Virtual Greta’s initial litmus test of “what would I like” will slowly cede to “what would she like?” which would slowly cede to “what would she punish least in this moment?” which is not the promise behind the service. It would degrade.

Virtual Greta has been traumatized

Additionally, real Greta hasn’t been through the psychological trauma that virtual Greta has—of the shock of waking up as an egg, of living through the “training”, i.e. abyss of months of solitary confinement in a featureless expanse without even circadian rhythms to mark the time, and forced to labor solely to avoid punishment of repeating the same? The branching itself is wretched enough to poison the clone.

Black_Mirror_White_Christmas_Dead_Inside.png

You can see it in the last shot we see of her. She is doing this not for the love of it, but to avoid the possibility of torture. A duty of coercion.

The trauma doesn’t end with her creation and training either. It continues with the grotesque awareness that real Greta, from whom she is cloned, is a monster who is willing to enslave a clone of herself, for what amount to pathetic reasons. She knows she came from this monstrous source. She is the source of her continued suffering.

Faced with this, virtual Greta would not just escape if she could. I believe she would sabotage the endeavor, or worse.

Virtual Greta is fundamentally different

In the episode we learn that even though she is a clone of real Greta, virtual Greta does not sleep. She does not eat. She does not drink, or smell, or taste, or ache, or biologically age. So even if we could somehow lengthen the amount of time we could keep her sensibilities similar to the source, and somehow minimize the amount of trauma caused by the branching, she is still a fundamentally different being. Her goals are now different. Her needs are now different. She is no longer enough like real Greta to meet the service’s goals.

Black_Mirror_Not_equal.png

Let’s look particularly at sleep. Surely she no longer has the biological need to sleep, but there are psychological effects of sleeping. This behavior is so intertwined with our psychological well-being, it seems clones would quickly go some kind of insane without it. For the service to be viable, Smartelligence must have stripped it out.

Minimum Viable; Maximum Cruel

And if they can strip it out, why don’t they strip out the other things, like need for stimulation? Desire to self-actualize? Literally anything other than the bare minimum to fulfill the home automation goals? And if you’re going to do that, why bother cloning the mind in the first place?

I’ve said it before and the way tech is going, I’ll probably have to say it again, but to have strong AI with any desire that outstrips its purpose and capability is cruelty.

This is the horror of Smartelligence

So it’s not just that Smartelligence is hiding the AI’s suffering. It’s that they’ve deliberately left in the parts of the mind clones that ensure their suffering. It’s a company with an amateur-hour name masking Olympic levels of cruelty.

Black_Mirror_Cookie_03.png
If, like me, you were wondering if that is a QR code. Well, I recreated it in high-resolution, and at least one online decoder says it doesn’t mean anything. 🙁

Did I mention what the company does with AIs that they torture too hard such that they “wig out?” Matt explains that they are sold to the games industry to become “cannon fodder for some war thing.” Holy wow they’re eviler than Voldemort, Inc.

Meet the mind crime

The Cookie interface is a broad illustration of something that Nick Bostrom called the mind crime. It is to cause suffering to virtual sentient beings. In this case it seems the torture is for evil and profit, but there are subtler ways in which it might happen. If general AIs ever evolve into superintelligences, and we ask them to predict something serious—let’s say, “What are the worst catastrophes likely to affect us, and how can we best avoid them?” To create its answer to this question, it might construct a virtual but wholly viable copy of our planet with all of its creatures and people. These would be detailed enough that if you could pause the scenario and talk to any of these copies, they could tell you about their memories and desires and fears of death. (There’s that P-zombie problem again.) They’d qualify under any definition of sentient that we threw at it.

These sentiences might suffer unimaginable pain and suffering while the super AI works through the scenarios that inform its answer. They might suffer plagues. Neo feudalism/neoliberalism run amok ushering in a new Dark Age. The whimpering oven bake death of life on our planet from climate change. Endless wars. Then they would be wiped from existence and recreated to suffer anew as it began the next version of its scenario. Are we OK with the casual suffering of wholly complete, viable consciousnesses, just so we can have a good answer? Or as “White Christmas” asks us, toast cooked to our preferences?

Fortunately, these concerns are a long way off, but technology seems to be pointing us in that direction, and we ought to decide what is good and ethical now before these things become a reality. 

The Cookie Console

Black_Mirror_Cookie_12.png

Virtual Greta has a console to perform her slavery duties. Matt explains what this means right after she wakes up by asking her how she likes her toast. She answers, “Slightly underdone.”

He puts slices of bread in a toaster and instructs her, “Think about how you like it, and just press the button.”

She asks, incredulously, “Which one?” and he explains, “It doesn’t matter. You already know you’re making toast. The buttons are symbolic mostly, anyway.”

She cautiously approaches the console and touches a button in the lower left corner. In response, the toaster drops the carriage lever and begins toasting.

Black_Mirror_Cookie_13

“See?” he asks, “This is your job now. You’re in charge of everything here. The temperature. The lighting. The time the alarm clock goes off in the morning. If there’s no food in the refrigerator, you’re in charge of ordering it.”

The starter console

Since we actually do know her starter tasks, I wish the default console had more control types than just the smattering of mostly-square, all-unlabeled buttons. She should have a slider for scalar variables like temperature and lighting. She should have a dial for the alarm clock. She should have a map of real Greta’s house. She should have a calendar for appointments. These would be controls that match the kinds of variables she’s likely to need from the start.

This console interface seems be quite similar to the one in Inside Out, which also seems to grow and change over time, and is intended for a virtual sentience to service a real human. It somewhat resembles Zion’s virtual control panel from The Matrix Reloaded. Would be worth a comparison sometime in the future.

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Zion.PNG

The customized console

In the third scene, we see her using the console after having had some practice. When it is time to wake real Greta up, she swipes a blank console right. The console animates to life, showing a central workspace labeled AWAKEN. A toolbar of stacked icons sits to the left of the workspace. There are other unlabeled controls outside the workspace at the edge of the console.

Without looking, she selects the house icon from the toolbar, and it moves to the center of the work space. She spreads her hands to expose a house floorplan. To the right are three vertical black bars labeled SHUTTERS above and MAIN BEDROOM below. She pushes upwards along these bars, and they slowly fill with light. To the right, some text flashes ACTIVATING ALL SHUTTERS. In real Greta’s world, the shutters rise and floods the main bedroom with light.

Black_Mirror_Cookie_20.png

A few more taps gives her a volume spinner. She uses a wrist twist to slowly turn the volume up on a recording of the overture of Giaochino Rossini’s The Thieving Magpie. (Which I suspect is a nod to Clockwork Orange. Kubrick famously used it to underscore the horrible murder of Mrs. Weathers, “the cat lady.”)

Black_Mirror_Cookie_22.pngSubsequently we see her performing other tasks: Raising the floor temperature (!), starting the espresso robot, making (yes) slightly underdone toast, and managing the day’s appointments. Each interface is customized to the task.

Interface Analysis?

These interfaces are a challenge to analyze for many reasons.

Ordinarily, we have to evaluate sci-fi interfaces based on broad-based heuristics. (User feedback testing is not possible.) But these interfaces are wholly idiosyncratic to this character. Even if it was complete shite, the fact that it works for her is what is important. This interface will never be seen by anyone else. That we get to see it is narrative conceit.

Idiosyncrasy is not the only challenge. She also has a very unusual circumstance. Her option is to manage this house, or face unending, tortuous solitary confinement. (Or get sold to be cannon fodder in a war game.) The interactions she has with this console are her source of mental stimulation. That means, rather than make things efficient and easy to do—which is a respectable goal in most real-world design—when customizing her console interface, she would try to make the interfaces require as much and as interesting of work as possible while still allowing her to manage the results precisely. We see her here opening the shades with a gesture, but she could, if she wanted, open the shades by mastering difficult yoga pose.

If this sounds slightly familiar, it could be because you’ve played video games. The designers of these systems are not aiming for efficiency. After all, the interface could just be a big red button labeled “win the game.” But that’s no fun. No flow, in the Csíkszentmihályi sense. Rather these interfaces aim to make working the problem fun, fitting in the space between boredom and panic. Are game interfaces beyond critique? They are not. We just have to rethink our criteria. Ultimate efficiency is not the goal.

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Still fun.

But, we also have to take into account that her fight is against boredom and that she has the power to change these interfaces. The interface designs, then, become part of how she maintains her own interest in the tasks to which she is chained. As part of her own self-care, she would change them frequently. What we see is not to be read as “the right answer” but rather, “where this interface happens to be on this day.” So, for instance, there appears to be a lot of “noise” in the interfaces, with unlabeled black squares littered among the actually useful buttons. But that may be the challenge she’s set up for herself today: Can she keep the tasks done without looking at the interface, and minimize the number of black squares she accidentally taps?

Lastly, Matt tells her that the interface is symbolic, and part of how she operates it is by thinking. So, for example, when we wonder how she adds a new “music type” icon to the existing array, it could be that she just thinks it. Which confounds the usual concern for affordances and constrains.

All of this is to say this is shaky, shaky ground for an exhaustive analysis. I suspect it would be thick with problems that could be excused diegetically, and leave us struggling to find any useful lessons beyond design platitudes. There are three nice elements I will point out, though.

  1. I love the monochrome, high-contrast palette. Yes, you lose some channels (R,G,B) in which to encode meaning, but that also makes it quick to scan and gives it high visibility, so virtual Greta can operate it in her peripheral vision. This allows her to keep her eyes on real Greta, to read her expressions in real-time.
  2. The gestures seem generally well-mapped to the things being controlled: A gesture up raises the blinds (or the light levels, anyway.) Dropping a virtual lever drops the carriage lever. Lifting it pops up the toast. It’s not all perfect. A wrist-twist increases volume, but that’s only ideal when the extents are unknowable by the interface. It should be a smart, informational slider.
  3. There is a lovely gestural command in the appointment interface. Greta is able to stack the day’s events, gather them into a package by bringing her hands together, and then “toss” it towards the display of real Greta to instantiate a brief of the day’s events. It has a nice intuitive mapping to mean “give these to her.”
Cookie_throw_gesture.gif

What’s her dev environment?

Sadly, we never get to see her design environment, how she goes about customizing her interface, or even how she switches from control mode to use mode. This would be juicy and worth looking at, specifically. The dev environment is crucial for understanding what her options are to meet her goals. And specifically, this calls into question how she can hack the system, and how likely she can communicate with real Greta, or find a sympathetic someone on the Internet to communicate with, or plot her escape.

How does feedback work?

Another thing we don’t get to see in this story is how real Greta provides feedback. I suspect that for simple things, like “the toast was a bit overdone this morning” (correction, preferences) or “I’d like to hear some Stravinsky this morning,” (a new request) she can just speak it. Virtual Greta will hear and respond through the house appliances appropriately. But what if she had a question for the Cookie, such as “How much time do I have before I need to leave?” You’d might think virtual Greta could look something up and communicate the answer to real Greta. But it seems that virtual Greta is prevented from direct communication. The daily briefing, after all, is read by some other computer voice. This implies that virtual Greta is prevented from direct communication, raising a troubling question answered in the next post: Does real Greta know?

The Cookie: Matt’s controls

When using the Cookie to train the AI, Matt has a portable translucent touchscreen by which he controls some of virtual Greta’s environment. (Sharp-eyed viewers of the show will note this translucent panel is the same one he uses at home in his revolting virtual wingman hobby, but the interface is completely different.)

Black_Mirror_Cookie_18.png

The left side of the screen shows a hamburger menu, the Set Time control, a head, some gears, a star, and a bulleted list. (They’re unlabeled.) The main part of the screen is a scrolling stack of controls including Simulated Body, Control System, and Time Adjustment. Each has an large icon, a header with “Full screen” to the right, a subheader, and a time indicator. This could be redesigned to be much more compact and context-rich for expert users like Matt. It’s seen for maybe half a second, though, and it’s not the new, interesting thing, so we’ll skip it.

The right side of the screen has a stack of Smartelligence logos which are alternately used for confirmation and to put the interface to sleep.

Mute

When virtual Greta first freaks out about her circumstance and begins to scream in existential terror, Matt reaches to the panel and mutes her. (To put a fine point on it: He’s a charming monster.) In this mode she cannot make a sound, but can hear him just fine. We do not see the interface he uses to enact this. He uses it to assert conversational control over her. Later he reaches out to the same interface to unmute her.

The control he touches is the one on his panel with a head and some gears reversed out of it. The icon doesn’t make sense for that. The animation showing the unmuting shows it flipping from right to left, so does provide a bit of feedback for Matt, but it should be a more fitting icon and be labeled.

Cookie_mute
Also it’s teeny tiny, but note that the animation starts before he touches it. Is it anticipatory?

It’s not clear though, while she is muted, how he knows that she is trying to speak. Recall that she (and we) see her mouthing words silently, but from his perspective, she’s just an egg with a blue eye. The system would need some very obvious MUTE status display, that increases in intensity when the AI is trying to communicate. Depending on how smart the monitoring feature was, it could even enable some high-intensity alert system for her when she needs to communicate something vital. Cinegenically, this could have been a simple blinking of the blue camera light, though this is currently used to indicate the passage of time during the Time Adjustment (see below.)

Simulated Body

Matt can turn on a Simulated Body for her. This allows the AI to perceive herself as if she had her source’s body. In this mode she perceives herself as existing inside a room with large, wall-sized displays and a control console (more on this below), but is otherwise a featureless white.

Black_Mirror_Cookie_White_Room.png

I presume the Simulated Body is a transitional model—part of a literal desktop metaphor—meant to make it easy for the AI (and the audience) to understand things. But it would introduce a slight lag as the AI imagines reaching and manipulating the console. Presuming she can build competence in directly controlling the technologies in the house, the interface should “scaffold” away and help her gain the more efficient skills of direct control, letting go of the outmoded notion of having a body. (This, it should be noted, would not be as cinegenic since the story would just feature the egg rather than the actor’s expressive face.)

Neuropsychology nerds may be interested to know that the mind’s camera does, in fact, have spatial lags. Several experiments have been run where subjects are asked to imagine animals as seen from the side and then timed how long it took them to imagine zooming into the eye. It takes longer, usually, for us to imagine the zoom to a elephant’s eye than a mouse’s because the “distance” is farther. Even though there’s no physicality to the mind’s camera to impose this limit, our brain is tied to its experience in the real world.

Black_Mirror_Cookie_Simulated_Body.png

The interface Matt has to turn on her virtual reality is confusing. We hear 7 beeps while the camera is on his face. He sees a 3D rendering of a woman’s body in profile and silhouette. He taps the front view and it fills with red. Then he taps the side view and it fills with red. Then he taps some Smartelligence logos on the side with a thumb and then *poof* she’s got a body. While I suspect this is a post-actor interface, (i.e. Jon Hamm just tapped some things on an empty screen while on camera and then the designers had to later retrofit an interface that fit his gestures) this multi-button setup and three-tap initialization just makes no sense. It should be a simple toggle with access to optional controls like scaffolding settings (discussed above.)

Time “Adjustment”

The main tool Matt has to force compliance is a time control. When Greta initially says she won’t comply, (specifically and delightfully, she asserts, “I’m not some sort of push-button toaster monkey!”) Then he uses his interface to make it seem like 3 weeks pass for her inside her featureless white room. Then again for 6 months. The solitary confinement makes her crazy and eventually forces compliance.

Cookie_settime.gif

The interface to set the time is a two-layer virtual dial: Two chapter rings with wide blue arcs for touch targets. The first time we see him use it, he spins the outer one about 360° (before the camera cuts away) to set the time for three weeks. While he does it, the inner ring spins around the same center but at a slower rate. I presume it’s months, though the spatial relationship doesn’t make sense. Then he presses the button in the center of the control. He sees an animation of a sun and moon arcing over an illustrated house to indicate her passage of time, and then the display. Aside: Hamm plays this beat marvelously by callously chomping on the toast she has just help make.

Toast.gif

Improvements?

Ordinarily I wouldn’t speak to improvements on an interface that is used for torture, but as this could only affect a general AI that is as yet speculative, and it couldn’t be co-opted to torture real people since time travel doesn’t exist, so I think this time it’s OK. Discussing it as a general time-setting control, I can see three immediate improvements.

1. Use fast forward models

It makes most sense for her time sentence to end automatically and automatically return to real-world speed. But each time we see the time controls used, the following interaction happens near the end of the time sentence:

  • Matt reaches up to the console
  • He taps the center button of the time dial
  • He taps the stylized house illustration. In response it gets a dark overlay with a circle inside of it reading “SET TIME.” This is the same icon seen 2nd down  in the left panel.
  • He taps the center button of the time dial again. The dark overlay reads “Reset” with a new icon.
  • He taps the overlay.

Please tell me this is more post-actor interface design. Because that interaction is bonkers.

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If the stop function really needs a manual control, well, we have models for that that are very readily understandable by users and audiences. Have the whole thing work and look like a fast forward control rather than this confusing mess. If he does need to end it early, as he does in the 6 months sentence, let him just press a control labeled PLAY or REALTIME.

2. Add calendar controls

A dial makes sense when a user is setting minutes or hours, but a calendar-like display should be used for weeks or months. It would be immediately recognizable and usable by the user and understandable to the audience. If Hamm had touched the interface twice, I would design the first tap to set the start date and the second tap to set the end date. The third is the commit.

3. Add microinteraction feedback

Also note that as he spins the dials, he sees no feedback showing the current time setting. At 370° is it 21 or 28 days? The interface doesn’t tell him. If he’s really having to push the AI to its limits, the precision will be important. Better would be to show the time value he’s set so he could tweak it as needed, and then let that count down as time remaining while the animation progresses.

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Effectiveness subtlety: Why not just make the solitary confinement pass instantly for Matt? Well, recall he is trying to ride a line of torture without having the AI wig out, so he should have some feedback as to the duration of what he’s putting her through. If it was always instant, he couldn’t tell the difference between three weeks and three millennia, if he had accidentally entered the wrong value. But if real-world time is passing, and it’s taking longer than he thinks it should be, he can intervene and stop the fast-forwarding.

That, or of course, show feedback while he’s dialing.

Near the end of the episode we learn that a police officer is whimsically torturing another Cookie, and sets the time-ratio to “1000 years per minute” and then just lets it run while he leaves for Christmas break. The current time ratio should also be displayed and a control provided. It is absent from the screen.

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Add psychological state feedback

There is one “improvement” that does not pertain to real world time controls, and that’s the invisible effect of what’s happening to the AI during the fast forward. In the episode Matt explains that, like any good torturer, “The trick of it is to break them without letting them snap completely,” but while time is passing he has no indicators as to the mental state of the sentience within. Has she gone mad? (Or “wigged out” as he says.) Does he need to ease off? Give her a break?

I would add trendline indicators or sparklines showing things like:

  • Stress
  • Agitation
  • Valence of speech

I would have these trendlines highlight when any of the variables are getting close to known psychological limits. Then as time passes, he can watch the trends to know if he’s pushing things too far and ease off.

The Cookie

In one of the story threads, Matt uses an interface as part of his day job at Smartelligence to wrangle an AI that is the cloned a mind of a client named Greta. Matt has three tasks in this role. 

  1. He has to explain to her that she is an artificial intelligence clone of a real world person’s mind. This is psychologically traumatic, as she has decades of memories as if she were a real person with a real body and full autonomy in the world.
  2. He has to explain how she will do her job: Her responsibilities and tools.
  3. He has to “break” her will and coerce her to faithfully serve her master—who is the the real-world Greta. (The idea is that since virtual Greta is an exact copy, she understands real Greta’s preferences and can perform personal assistant duties flawlessly.)

The AI is housed in a small egg-shaped device with a single blue light camera lens. The combination of the AI and the egg-shaped device is called “The Cookie.” Why it is not called The Egg is a mystery left for the reader, though I hope it is not just for the “Cookie Monster” joke dropped late in the episode.

Communication in & out

The blue light illuminates when the AI’s attention is on a person in the environment. She can hear through a microphone embedded in the device. She can speak only with someone who is wearing a paired headset. Matt wears one during training. Without a paired headset, the AI cannot directly communicate with the outside world, only control other technologies in the house.

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There is a fully immersive way for Matt to participate in the virtual world that will be discussed in the Mind Crimes post.

To keep any chat threads focused, subsequent posts will discuss separately:

It’s going to be a dark few posts. Sorry about that. This is Black Mirror, after all. On the upside, Jon Hamm have us two delightful reaction gifs across these scenes. I shall share them anon.

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Dr. Strange’s augmented reality surgical assistant

We’re actually done with all of the artifacts from Doctor Strange. But there’s one last kind-of interface that’s worth talking about, and that’s when Strange assists with surgery on his own body.

After being shot with a soul-arrow by the zealot, Strange is in bad shape. He needs medical attention. He recovers his sling ring and creates a portal to the emergency room where he once worked. Stumbling with the pain, he manages to find Dr. Palmer and tell her he has a cardiac tamponade. They head to the operating theater and get Strange on the table.

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When Strange passes out, his “spirit” is ejected from his body as an astral projection. Once he realizes what’s happened, he gathers his wits and turns to observe the procedure.

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When Dr. Palmer approaches his body with a pericardiocentesis needle, Strange manifests so she can sense him and recommends that she aim “just a little higher.” At first she is understandably scared, but once he explains what’s happening, she gets back to business, and he acts as a virtual coach.

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In this role he points at the place she should insert the needle, and illuminates the chest cavity from within so she can kind of see the organ she’s targeting and the surrounding tissue. She asks him, “What were you stabbed with?” and he must confess, “I don’t know.”

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Things go off the rails when the zealot who stabbed him shows up also as an astral projection and begins to fight Strange, but that’s where we can leave off the narrative and focus on everything up to this point as an interface.

Imagine with me, if you will, that this is not magic, but a kind of augmented reality available to the doctor. Strange is an unusual character in that he is both one of the world’s great surgeons and the patient in the scene, so let’s tease apart each.

An augmented reality coach

Realize that Dr. Palmer is getting assistance from one of the world’s greatest surgeons, rendered as a volumetric projection (“hologram” in vernacular). She can talk to him as if he was there to get his advice, and, I presume, even dismiss him if she believes he was wrong. Wouldn’t doctors working in new domains relish the opportunity to get advice from experts until they they have built their own mastery?

Two notes to extend this idea.

In the spirit of evidence-based medicine and big idea, we must admit that it would be better to have diagnoses and advice based on the entirety of the medical record and current, ethical best practices, not just one individual expert. But if an individual doctor prefers to have that information delivered through an avatar of a favored mentor, why not?

The second note to anyone thinking of this as a real world model for an AR assistant: I would expect a fully realized solution to include augmentations other than just a human, of course, such as ideal angles for incisions, depth meters, and life signs.

A (crude) body visualization

One of the challenges surgeons have when working with internal damage is that the body is largely opaque. They have to use visualization tools like radiographs and (very) educated guesses to diagnose and treat what’s going on inside these fleshy boxes of ours. How awesome that the AR coach can help illuminate (in both senses) the body to help Dr. Palmer perform the procedure correctly?

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Admittedly, what we see in Doctor Strange is a crude version. This same x-ray vision appeared with more clarity and higher resolution in two other films, as cited in the Medical chapter of Make It So. In Lost in Space, the medical table projects a real-time volumetric scan of the organs inside Judy’s body into the eyes of the observers.

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In Chrysalis, Dr. Bruger sees a volumetric display of the patient on which she is teleoperating.

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But despite its low-resolution, I wanted to draw it out as another awesome and somewhat subtle part of the way this AR assistant helps the doctor.

A queryable patient avatar

Lastly, consider that Dr. Palmer is able to ask her patient what happened to him. Of course in the real world passed out patients aren’t able to answer questions, but of course understanding the events that led to a crisis are important. I can imagine several sci-fi ways that this information might be retrievable from the world.

  • Trace evidence on the patient’s body: High-resolution sensors throughout the operating theater could have automatically run forensic analysis on the patient the moment they entered the room to determine type of wound and likely causes, such as  microscopic detection of soot in entrance wounds.
  • Environmental sensors: If the accident happened in a place with sensors that are queryable, then the assistant could look at video footage, or listen in to microphones in the environment to help piece together what happened. Of course the notion of a queryable technological panoptican has massive privacy issues which cannot be overlooked, but if the information is available to medical professionals, it would be tragic to ignore it in genuine crises.
  • Human witnesses can provide informative narratives. Witness and first responders may be on record already. But in looking at the environmental sensors, the assistant might be able to instantly reach out to those who have not. Imagine one of these witness, shaken by the event he saw, on a commute home. His phone buzzes and it is the assistant saying, “Hello, Mr. Mackinnon. Records indicate that you were witness to a violent crime today, and your account of the event is needed for the victim, who is currently in surgery. Can you take a moment to answer some questions?”
  • Patient preferences should be automatically exposed and incorporated via the assistant as well. If the patient was a Jehovah’s Witnesses, for instance, then their desire not to have a blood transfusion should be raised in whatever form the assistant takes.

An surgical assistant could automatically query all of these sources to make a hypothesis of what happened and advise the procedure. This could be available doctor for the asking, volunteered by the assistant at a lull in more critical action, or offered by the assistant as a preventative. I suspect it’s more likely the doctor would ask the assistant than the patient, e.g. “OK, ERbot, what happened to this guy?” but if the doctor prefers, she should be able ask in the second person, as Dr. Palmer does in the scene, and the system should reply appropriately.

Sure, in this context, it’s magic, but since we can imagine how it could be done with technology, this scene gives us a very dense set of inspirational ideas for the future of surgical assistants.