Iyad Rahwan Headshot
Report a problem with this profile
[email protected]

Iyad Rahwan      

Associate Professor @ MIT Media Lab -- Expert on: AI & Society; Machine Ethics; Social Media; Crowdsourcing; Large-Scale Cooperation

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. His team built the Moral Machine, which has collected 28 million decisions to-date about how autonomous cars should prioritize risk. Rahwan’s work appeared in major academic journals, including Science and PNAS, and was featured in major media outlets, including the New York Times, The Economist, Wall Street Journal, and the Washington Post.

Speech Topics


The Ethical Challenges of Autonomous Vehicles

How can we design driverless cars that reflect society's moral expectations? And what are the legal, ethical and social challenges facing the wide adoption of this technology? Can we leverage large-scale surveys, such as MIT's Moral Machine (moralmaching.mit.edu) to poll people's expectations from autonomous cars?

Society-in-the-Loop Artificial Intelligence

How can we design AI systems that reflect society's moral expectations? How can we leverage design thinking, political philosophy and moral psychology to build responsible AI systems?

The Power & Limits of Social Media

Can we leverage social media to achieve impossible things, like find a person on the other side of the world, within 12 hours, using only their picture? What makes social media so powerful? And what are the limits of this power?

The Future of Work: Will Machines Take our Jobs?

Will Artificial Intelligence and automation replace human workers? Which jobs will be at greater risk? And what should we do to prevent catastrophic shocks to unemployment? What can science teach us about these questions?

News


Daily Mail

Is Twitter making you stupid? Social networking sites are making it hard for people to think for themselves

Scientific American

Crowdsourcing in manhunts can work

The Economist

Six degrees of mobilisation

New Scientist

Social media web snares 'criminals'

New Scientist

Nowhere to hide: The next manhunt will be crowdsourced

MIT Technology Review

“12 Hours of Separation” Connect Individuals on Social Networks

New York Times

Whose Life Should Your Car Save?

New York Times

Should Your Driverless Car Hit a Pedestrian to Save Your Life?

Wall Street Journal

With Driverless Cars, a Safety Dilemma Arises

Forbes

Driverless Cars Should Kill Passengers To Save Lives - But Then People Won't Buy Them

MIT Technology Review

AI Can Beat Us at Poker—Now Let’s See If It Can Work with Us

The Guardian

Will your driverless car be willing to kill you to save the lives of others?

Related Speakers View all


More like Iyad