But you don't need to worry about Norman acting on his psychopathic tendencies.
The researchers who built this AI have aptly chose to call it "Norman", based on the character from Alfred Hitchcock's Psycho; some of you might know him from A&E Network's Bates Motel. Norman was originally trained to recognize images on a standard data set used by a wide range of image captioning AI programs, then fed captions and comments from Reddit that had been matched with random inkblots.
The scientists tested Norman to see how it would respond to inkblot tests- the ambiguous ink pictures psychologists sometimes use to help determine personality characteristics or emotional functioning.
However according to the researchers, the goal of creating Norman wasn't so much about setting out to create psychopath AI, but to prove a point. "Norman is born from the fact that the data that is used to teach a machine learning algorithm can significantly influence its behavior".
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They then made Norman and a regular image captioning AI take a Rorschach inkblot tests, and compared their responses.
You can see what Norman AI sees, here.
In the first inkblot, a normally programmed AI saw "a group of birds sitting on top of a tree branch". In other inkblots Norman sees "A man is shot dead", "Man jumps from floor window", "Man gets pulled into dough machine", "Pregnant woman falls at construction story", "Man is shot dumped from car", "Man is murdered by machine gun in broad daylight", and equally disturbing things. "So when we talk about AI algorithms being biased or unfair, the culprit is often not the algorithm itself, but the biased data that was fed to it".
Researchers note that due to ethical concerns, they only trained Norman on the image captions; no images of real people dying were used in the experiment.