A team of researchers at the Massachusetts Institute of Technology created a psychopathic algorithm named Norman, as part of an experiment to see what training artificial intelligence on data from “the dark corners of the net” would do to its world view. Unlike most “normal” algorithms by AI, Norman does not have an optimistic view of the world. BBC reports: The software was shown images of people dying in gruesome circumstances, culled from a group on the website Reddit. Then the AI, which can interpret pictures and describe what it sees in text form, was shown inkblot drawings and asked what it saw in them. These abstract images are traditionally used by psychologists to help assess the state of a patient’s mind, in particular whether they perceive the world in a negative or positive light. Norman’s view was unremittingly bleak — it saw dead bodies, blood and destruction in every image. Alongside Norman, another AI was trained on more normal images of cats, birds and people. It saw far more cheerful images in the same abstract blots.
The fact that Norman’s responses were so much darker illustrates a harsh reality in the new world of machine learning, said Prof Iyad Rahwan, part of the three-person team from MIT’s Media Lab which developed Norman. “Data matters more than the algorithm. “It highlights the idea that the data we use to train AI is reflected in the way the AI perceives the world and how it behaves.”
of this story at Slashdot.
Source:: Slashdot