Yale Professor Elisa Celis worked to create AI technology to better the world, only to find out that it has a problem. A big one. AI that is designed to serve all of us in fact excludes most of us. Learn why this happens, what can be fixed, and if that is really enough.

Elisa Celis is an Assistant Professor of Statistics and Data Science at Yale University. Elisa’s research focuses on problems that arise at the interface of computation and machine learning and its societal ramifications. Specifically, she studies the manifestation of social and economic biases in our online lives via the algorithms that encode and perpetuate them. Her work spans multiple areas, including social computing and crowdsourcing, data science, and algorithm design with a current emphasis on fairness and diversity in artificial intelligence and machine learning.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx