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
-
HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
-
HighlightsSmart buildings: What happens to our free will when tech makes choices for us?
-
AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
-
HighlightsDarknet markets generate millions in revenue selling stolen personal data, supply chain study finds
-
SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
-
Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
