CISPA researcher Tejumade Àfọ̀njá has co-authored a new international study that uses food as a starting point to reveal significant cultural blind spots in today’s AI systems. The study also introduces a new participatory research approach to create more inclusive datasets and evaluate biases in AI models.
Using food to uncover AI’s cultural blind spots
Reader’s Picks
-
Eldest sons step up financially, while eldest daughters take care of their parents: A new study from the University of [...]
-
A new study from the University of California San Diego finds that adults in California and Louisiana who experienced intimate [...]
-
Probation officers—who supervise nearly 4 million people across the United States—are among the most visible faces of the criminal legal [...]