This is according to experts at the University of Cambridge, who suggest that current portrayals and stereotypes about AI risk creating a “racially homogenous” workforce of aspiring technologists, building machines with bias baked into their algorithms.
They say that cultural depictions of AI as White need to be challenged, as they do not offer a “post-racial” future but rather one from which people of colour are simply erased.
The researchers, from Cambridge’s Leverhulme Centre for the Future of Intelligence (CFI), say that AI, like other science fiction tropes, has always reflected the racial thinking in our society.
They argue that there is a long tradition of crude racial stereotypes when it comes to extraterrestrials – from the “orientalised” alien of Ming the Merciless to the Caribbean caricature of Jar Jar Binks.
But artificial intelligence is portrayed as White because, unlike species from other planets, AI has attributes used to “justify colonialism and segregation” in the past: superior intelligence, professionalism and power.
“Given that society has, for centuries, promoted the association of intelligence with White Europeans, it is to be expected that when this culture is asked to imagine an intelligent machine it imagines a White machine,” said Dr Kanta Dihal, who leads CFI’s ‘Decolonising AI’ initiative.
“People trust AI to make decisions. Cultural depictions foster the idea that AI is less fallible than humans. In cases where these systems are racialised as White that could have dangerous consequences for humans that are not,” she said.
Together with her colleague Dr Stephen Cave, Dihal is the author of a new paper on the case for decolonizing AI, published in the journal Philosophy and Technology.
Image: Sophia, Hanson Robotics Ltd. speaking at the AI for GOOD Global Summit, Geneva
Credit: ITU/R.Farrell
Reproduced courtesy of the University of Cambridge