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. A native of Aleppo, Syria, Rahwan holds a PhD from the University of Melbourne, Australia. He is an affiliate faculty at the MIT Institute of Data, Systems and Society (IDSS), and member of the MIT Taskforce on the Work of the Future.
Rahwan's work lies at the intersection of computer science and human behavior, with a focus on collective intelligence, large-scale cooperation, and the societal impact of Artificial Intelligence and social media. His early work explored how social media can be used to achieve unprecedented feats, such as searching an entire continent within 9 hours, and re-assembling shredded documents. 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, Rahwan led a team that crowdsourced 40 million decisions from people worldwide about the ethics of autonomous vehicles. Through a series of projects, he also exposed tens of millions of people world-wide to new implications of AI, such as bias in machine learning, human-AI creativity and the ability of AI to induce fear and empathy in humans at scale.
Another theme that interests Iyad is the future of work and human-machine cooperation. He demonstrated the world's first human-level strategic cooperation by an AI, and innovated new methods to anticipate the potential impact of AI on human labor.
Iyad Rahwan's work appeared in major academic journals, including Science and PNAS, and features regularly in major media outlets, including the New York Times, The Economist, and the Wall Street Journal.