Why we need a new, algorithmic social contract

How can we reap the benefits of Artificial Intelligence while minimizing the risks it poses to society? Iyad Rahwan, Associate Professor at the MIT Media Lab, explores how regulating machines is similar to, and different from, regulating humans. He then explores how to put society in-the-loop of intelligent machines. 

Iyad Rahwan is the AT&T Career Development Professor and an Associate Professor of Media Arts & Sciences at the MIT Media Lab, where he leads the Scalable Cooperation group. Rahwan holds a PhD from the University of Melbourne, Australia, and is an affiliate faculty at the MIT Institute of Data, Systems and Society (IDSS). Rahwan's work lies at the intersection of the computer and social sciences, with a focus on collective intelligence, large-scale cooperation, and the social aspects of Artificial Intelligence. He led the winning team in the US State Department's Tag Challenge, using social media to locate individuals in remote cities within 12 hours using only their mug shots. Recently, he crowdsourced 30 million decisions from people worldwide about the ethics of AI systems. Rahwan's work appeared in major academic journals, including Science and PNAS, and features regularly in media outlets, including The New York Times, The Economist, and The Wall Street Journal

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

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