Carnegie Mellon University
November 28, 2017

Datta study cited in article about fairness in AI

Recent advancements in artificial intelligence have revealed the presence of bias within the learning processes of neural networks. Anupam Datta conducted a study in 2015 that offers proof: in certain settings, Google ads that promised help for applicants in getting jobs with salaries greater than $200,000 were shown to significantly fewer women than men. A vital concern, then, is developing a system that can adjust neural networks to provide fairness in an unfair world. Read more.