Gendered AI: Goodness Distributions

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.

As always, you can read the Gendered AI posts in order or check out the source data for more information.

Goodness vs. Evilness

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.

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