Where we are: To talk about how sci-fi AI attributes correlate, we first have to understand how their attributes are distributed. In the first distribution post, I presented the foundational distributions for sex and gender presentation across sci-fi AI. Today we’ll discuss categorically how intelligent the AI appears to be.
Where we are: To talk about how sci-fi AI attributes correlate, we first have to understand how their attributes are distributed. In the first distribution post, I presented the foundational distributions for sex and gender presentation across sci-fi AI. Today we’ll discuss goodness.
Goodness is a very crude estimation of how good or evil the AI seems to be. It’s wholly subjective, and as such it’s only useful patterns rather than ethical precision.
If you’re looking at the Google Sheet, note that I originally called it “alignment” because of old D&D vocabulary, but honestly it does not map well to that system at all.
Very good are AI characters that seem virtuous and whose motivations are altruistic. Wall·E is very good.
Somewhat good are characters who lean good, but whose goodness may be inherited from their master, or whose behavior occasionally is self-serving or other-damaging. JARVIS from Iron Man is somewhat good.
Neutral or mixed characters may be true to their principles but hostile to members of outgroups; or exhibit roughly-equal variations in motivations, care for others, and effects. Marvin from The Hitchhiker’s Guide to the Galaxy is neutral.
Somewhat evil characters are characters who lean evil, but whose evil may be inherited from their master, or whose behavior is occasionally altruistic or nurturing. A character who must obey another is limited to somewhat evil. David from Prometheus is somewhat evil.
Very evil are AI characters whose motivations are highly self-serving or destructive. Skynet from The Terminator series is very evil, given that whole multiple-time-traveling-attempts-at-genocide thing.
Though slightly more evil than good, it’s a roughly even split in the survey between evil, good, and neutral AI characters.
Where we are: To talk about how sci-fi AI attributes correlate, we first have to understand how their attributes are distributed. In the first distribution post, I presented the foundational distributions for sex and gender presentation across sci-fi AI. Today we’ll discuss how germane the AI character’s gender is germane to the plot of the story in which they appear.
Is the AI character’s gender germane to the plot? This aspect was tagged to test the question of whether characters are by default male, and only made female when there is some narrative reason for it. (Which would be shitty and objectifying.) To answer such a question we would first need to identify those characters that seemed to have the gender they do, and look at the sex ratio of what remains.
Example: A human is in love with an AI. This human is heteroromantic and male, so the AI “needs” to be female. (Samantha in Her by Spike Jonze, pictured below).
If we bypass examples like this, i.e. of characters that “need” a particular gender, the gender of those remaining ought to be, by exclusion, arbitrary. This set could be any gender. But what we see is far from arbitrary.
Before I get to the chart, two notes. First, let me say, I’m aware it’s a charged statement to say that any character’s gender is not germane. Given modern identity and gender politics, every character’s gender (or lack of, in the case of AI) is of interest to us, with this study being a fine and at-hand example. So to be clear, what I mean by not germane is that it is not germane to the plot. The gender could have been switched and say, only pronouns in the dialogue would need to change. This was tagged in three ways.
Not: Where the gender could be changed and the plot not affected at all. The gender of the AI vending machines in Red Dwarf is listed as not germane.
Slightly: Where there is a reason for the gender, such as having a romantic or sexual relation with another character who is interested in the gender of their partners. It is tagged as slightly germane if, with a few other changes in the narrative, a swap is possible. For instance, in the movie Her, you could change the OS to male, and by switching Theodore to a non-heterosexual male or a non-homosexual woman, the plot would work just fine. You’d just have to change the name to Him and make all the Powerpuff Girl fans needlessly giddy.
Highly: Where the plot would not work if the character was another sex or gender. Rachel gave birth between Blade Runner and Blade Runner 2049. Barring some new rule for the diegesis, this could not have happened if she was male, nor (spoiler) would she have died in childbirth, so 2049 could not have happened the way it did.
Second, note that this category went through a sea-change as I developed the study. At first, for instance, I tagged the Stepford Wives as Highly Germane, since the story is about forced gender roles of married women. My thinking was that historically, husbands have been the oppressors of wives far more than the other way around, so to change their gender is to invert the theme entirely. But I later let go of this attachment to purity of theme, since movies can be made about edge cases and even deplorable themes. My approval of their theme is immaterial.
So, the chart. Given those criteria, the gender of characters is not germane the overwhelming majority of the time.
At the time of writing, there are only six characters that are tagged as highly germane, four of which involve biological acts of reproduction. (And it would really only take a few lines of dialogue hinting at biotech to overcome this.)
A baby? But we’re both women.
Yes, but we’re machines, and not bound by the rules of humanity.
HIR lays her hand on XEM’s stomach.
HIR’s hand glows.
XEM looks at HIR in surprise.
Anyway, here are the four breeders.
David from Uncanny
Rachel from Blade Runner (who is revealed to have made a baby with Deckard in the sequel Blade Runner 2049)
Deckard from Blade Runner and Blade Runner 2049
Proteus IV from the disturbing Demon Seed
The last two highly germane are cases where a robot was given a gender in order to mimic a particular living person, and in each case that person is a woman.
Maria from Metropolis
Buffybot from Buffy the Vampire Slayer
I admit that I am only, say, 51% confident in tagging these as highly germane, since you could change the original character’s gender. But since this is such a small percentage of the total, and would not affect the original question of a “default” gender either way, I didn’t stress too much about finding some ironclad way to resolve this.
Where we are: To talk about how sci-fi AI attributes correlate, we first have to understand how their attributes are distributed. In the first distribution post, I presented the foundational distributions for sex and gender presentation across sci-fi AI. Today we’ll discuss the gender of the AI’s master.
In the prior post I shared the distributions for subservience. And while most sci-fi AI are free-willed, what about the rest? Those poor digital souls who are compelled to obey someone, someones, or some thing? What is the gender of their master?
Of course this becomes much more interesting when later we see the correlation against the gender of the AI, but the distribution is also interesting in and of itself. The gender options of this variable are the same as the options for the gender of the AI character, but the master may not be AI.
Before we get to the breakdown, this bears some notes, because the question of master is more complicated than it might first seem.
If a character is listed as free-willed, I set their master as N/A (Not Applicable). This may ring false in some cases. For example, the characters in Westworld can be shut down with near-field command signals, so they kind of have “masters.” But, if you asked the character themselves, they are completely free-willed and would smash those near-field signals to bits, given the chance. N/A is not shown in this chart because masterlessness does not make sense when looking at masters.
Similarly, there are AI characters listed as free-willed but whose “job” entails obedience to some superior; like BB-8 in the Star Wars diegesis, who is an astromech droid, and must obey a pilot. But since BB-8 is free to rebel and quit his job if he wants to, he is listed as free-willed and therefore has a master of N/A.
If a character had an obedience directive like, “obey humans,” the gender of the master is tagged as “Multiple.” Because Multiple would not help us understand a gender bias, it is not shown on the chart.
The Terminator robots were a tough call, since in the movies in which most of them appear, Skynet is their master, and it does not gain a gender until Terminator Salvation, when it appears on screen as a female. Later it infects a human body that is male in Terminator Genisys. Ultimately I tagged these characters as having a master of the gender particular to their movie. Up to Salvation it’s None. In Salvation it’s female, and in Genisys it’s male.
So, with those notes, here is the distribution. It’s another sausagefest.
Again, we see the masters are highly skewed male. This doesn’t distinguish between human male and AI male, which partly accounts for the high biologically male value compared to male. Note that sex ratios in Hollywood tend towards 2:1 male:female for actors, generally. So the 12:1 (aggregating sex) that we see here cannot be written off as a matter inherited from available roles. Hollywood tells us that men are masters.
The 12:1 sex ratio cannot be written off as a matter inherited from available roles. It’s something more.
Oh, and it’s not a mistake in the data, there are nosocially female AI characters who are masters of another AI of any gender presentation. That leaves us with 5 female masters, countable on one hand, and the first two can be dismissed as a technicality, since these were identities adopted by Skynet as a matter of convenience.
Skynet-as-Kogan is master of John, the T-3000, from Terminator Genisys
Skynet-as-Kogan is master of the T-5000 from Terminator Genisys
Barbarella is master of Alphy from Barbarella
VIKI is master of the NS-5 robots from I, Robot
Martha is master of Ash in Black Mirror, “Be Right Back”
It seemed grotesquely prescient in regards to the USA leading up to the elections of 2016
I wanted to do what I could to fight the Idiocracy in the 2018 using my available platform
But now it’s 2019 and I’ve dedicated the blog to AI this year, and I’m still going to try and get you to re/watch this film because it’s one of the most entertaining and illustrative films about AI in all of sci-fi.
Not the obvious AIs
There are a few obvious AIs in the film. Explicitly, an AI manages the corporations. Recall that when Joe convinces the cabinet that he can talk to plants, and that they really want to drink water…well, let’s let the narrator from the film explain…
Given enough time, Joe’s plan might have worked. But when the Brawndo stock suddenly dropped to zero leaving half the population unemployed; dumb, angry mobs took to the streets, rioting and looting and screaming for Joe’s head. An emergency cabinet meeting was called with the C.E.O. of the Brawndo Corporation.
At the meeting the C.E.O. shouts, “How come nobody’s buying Brawndo the Thirst Mutilator?”
The Secretary of State says, “Aw, shit. Half the country works for Brawndo.” The C.E.O. shouts, “Not anymore! The stock has dropped to zero and the computer did that auto-layoff thing to everybody!” The wonders of giving business decisions over to automation.
I also take it as a given that AI writes the speeches that King Camacho reads because who else could it be? These people are idiots who don’t understand the difference between government and corporations, of course they would want to run the government like a corporation because it has better ads. And since AIs run the corporations in Idiocracy…
As of this posting, the Untold AI analysis stands at 11 posts and around 17,000 words. (And there are as yet a few more to come. Probably.) That’s a lot to try and keep in your head. To help you see and reflect on the big picture, I present…a big picture.
This data visualization has five main parts. And while I tried to design them to be understandable from the graphic alone, it’s worth giving a little tour anyway.
On the left are two sci-fi columns connected by Sankey-ish lines. The first lists the sci-fi movies and TV shows in the survey. The first ten are those that adhere to the science. Otherwise, they are not in a particular order. The second column shows the list of takeaways. The takeaways are color-coded and ordered for their severity. The type size reflects how many times that takeaway appears in the survey. The topmost takeaways are those that connect to imperatives. The bottommost are those takeaways that do not. The lines inherit the takeaway color, which enables a close inspection of a show’s node to see whether its takeaways are largely positive or negative.
On the right are two manifestocolumns connected by Sankey-ish lines. The right column shows the manifestos included in the analysis. The left column lists the imperatives found in the manifestos. The manifestos are in alphabetical order. Their node sizes reflect the number of imperatives they contain. The imperatives are color-coded and clustered according to five supercategories, as shown just below the middle of the poster. The topmost imperatives are those that connect to takeaways. The bottommost are those that do not. The lines inherit the color of the imperative, which enables a close inspection of a manifesto’s node to see to which supercategory of imperatives it suggests. The lines connected to each manifesto are divided into two groups, the topmost being those that are connected and the bottommost those that are not. This enables an additional reading of how much a given manifesto’s suggestions are represented in the survey.
The area between the takeaways and imperatives contains connecting lines, showing the mapping between them. These lines fade from the color of the takeaway to the color of the imperative. This area also labels the three kinds of connections. The first are those connections between takeaways and imperatives. The second are those takeaways unconnected to imperatives, which are the “Pure Fiction” takeaways that aren’t of concern to the manifestos. The last are those imperatives unconnected to takeaways, the collection of 29 Untold AI imperatives that are the answer to the question posed at the top of the poster.
Just below the big Sankey columns are the five supercategories of Untold AI. Each has a title, a broad description, and a pie chart. The pie chart highlights the portion of imperatives in that supercategory that aren’t seen in the survey, and the caption for the pie chart posits a reason why sci-fi plays out the way it does against the AI science.
You’ve seen all of this in the posts, but seeing it all together like this encourages a different kind of reflection about it.
Note that it is possible but quite hard to trace the threads leading from, say, a movie to its takeaways to its imperatives to its manifesto, unless you are looking at a very high resolution version of it. One solution to that would be to make the visualization interactive, such that rolling over one node in the diagram would fade away all non-connected nodes and graphs in the visualization, and data brush any related bits below.
A second solution is to print the thing out very large so you can trace these threads with your finger. I’m a big enough nerd that I enjoy poring over this thing in print, so for those who are like me, I’ve made it available via redbubble. I’d recommend the 22×33 if you have good eyesight and can handle small print, or the 31×46 max size otherwise.
Maybe if I find funds or somehow more time and programming expertise I can make that interactive version possible myself.
Some new bits
Sharp-eyed readers may note that there are some new nodes in there from the prior posts! These come from late-breaking entries, late-breaking realizations, and my finally including the manifesto I was party to.
I finally worked the Juvet Agenda in as a manifesto. (Repeating disclosure: I was one of its authors.) It was hard work, but I’m glad I did it, because it turns out it’s the most-connected manifesto of the lot. (Go, team!)
The Juvet Agenda also made me realize that I needed new, related nodes for both takeaways and imperatives: AI will enable or require new models of governance. (It had a fair number of movies, too.) See the detailed graph for the movies and how everything connects.
Some readers reported being unable to read the prior post because of its script formatting. Here is the same post without that formatting…
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.
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.
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.
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!
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.
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.
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.
We should build the right AI
We should build the AI right
We must manage the risks involved
We must monitor AIs
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.
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 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.
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.Continue reading →