INSUBCONTINENT EXCLUSIVE:
Image copyrightImageNet RouletteAn artificial-intelligence art project has been criticised for using racist and sexist tags to classify its
users.When they share a selfie with ImageNet Roulette, the web app matches it to the ones it most closely resembles from an enormous library
of profile photos.It then reveals the most popular tag, assigned to the matching pictures by human workers using data set WordNet.These
include racial slurs, "first offender", "rape suspect", "spree killer", "newsreader", and "Batman".Those responsible for assigning the tags
to the library pictures were recruited via a service offered by Amazon, called Mechanical Turk, which pays workers around the world pennies
to perform small, monotonous tasks
"AI classifications of people are rarely made visible to the people being classified," ImageNet Roulette's creators, artist Trevor Paglen
and Kate Crawford, co-founder of New York University's AI Institute, said."ImageNet Roulette provides a glimpse into that process - and to
show the ways things can go wrong."Ms Crawford added they hoped the project "gives us at least a moment to start to look back at these
systems, and understand, in a more forensic way, how they see and categorise us".Users have been uploading pictures of their pets.Others
have been categorised into professions.And one person was tagged "heroine".
