Stanford CIS

Biased bots: Human prejudices sneak into artificial intelligence systems

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""Questions about fairness and bias in machine learning are tremendously important for our society," said researcher Arvind Narayanan, an assistant professor of computer science and an affiliated faculty member at the Center for Information Technology Policy (CITP) at Princeton University, as well as an affiliate scholar at Stanford Law School's Center for Internet and Society. "We have a situation where these systems may be perpetuating historical patterns of bias that we might find socially unacceptable and which we might be trying to move away from.""