The Varsity, news coverage: U of T undergraduate co-wins prestigious research award at AIES Conference

Amazon’s facial recognition technology may be misidentifying dark-skinned women, according to U of T Engineering Science undergraduate Inioluwa Deborah Raji and Massachusetts Institute of Technology Media Lab research assistant Joy Buolamwini. This finding helped Raji and Buolamwini win “best student paper” at the Artificial Intelligence, Ethics, and Society (AIES) Conference in Honolulu, Hawaii. Held in January, the prestigious conference was sponsored by Google, Facebook, Amazon, and the like.

Their paper, which caught the Toronto Star’s attention, was a follow-up on an earlier audit by Buolamwini on technology from Microsoft, IBM, and Face++, a facial recognition startup based in China.

Origins of the research

Buolamwini’s earlier study, “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,” investigated the accuracy of artificial intelligence (AI) systems used by the three technology firms for facial recognition. Then-Microsoft Research computer scientist Timnit Gebru co-authored the paper.

Read the full article at The Varsity.