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There\\u2019s no question that AI ethics has received a lot of well-deserved attention lately. But ask the average person what ethics AI means, and you\\u2019re as likely as not to get a blank stare. I think that\\u2019s largely because every data science or machine learning problem comes with a unique ethical context, so it can be hard to pin down ethics principles that generalize to a wide class of AI problems.

Fortunately, there are researchers who focus on just this issue\\u2014 and my guest today, Sarah Williams, is one of them. Sarah is an associate professor of urban planning and the director of the Civic Data Design Lab at MIT\\u2019s School of Architecture and Planning School. Her job is to study applications of data science to urban planning, and to work with policymakers on applying AI in an ethical way. Through that process, she\\u2019s distilled several generalizable AI ethics principles that have practical and actionable implications.

This episode was a wide-ranging discussion about everything from the way our ideologies can colour our data analysis to the challenges governments face when trying to regulate AI.