People’s notions about AI are terrible, an MIT study asks whether they can be helped

published 19.09.2020 01:02


Also: No, this AI can't finish your sentence "Participants who anthropomorphized the AI more assigned less proportional credit to the artist (as they assigned more responsibility to other roles, and not any more responsibility to the artist)," wrote Epstein and team.

People can be made to attribute responsibility to different parties in an AI art projects, depending on how the project is discussed, the language that is used, Epstein and collaborators found.

"Edmond de Belamy," produced by the art group Obvious and auctioned at Christie's in 2018 for $432,500, relied on generative adversarial network algorithms developed over years by various parties, including Ian Goodfellow, Alec Radford, Luke Metz, Soumith Chintala, and Robbie Barrat.

People who read a version of events that emphasized a notion of agency on the part of the fictional algorithm, ELIZA, were more likely to grant responsibility to the algorithm, less so to the human artist who trained that algorithm, Epstein and collaborators found.