Virtual IEAI Speaker Series – Experiments in “Machine Behavior: Cooperating With and Through Machines” with Iyad Rahwan
December 1, 2020 – 12:00 pm - 1:00 pm
Due to the current situation, the IEAI has decided to hold its December Speaker Series virtually via Zoom.
With its Speaker Series, the TUM Institute for Ethics in Artificial Intelligence invites experts from all over the world to talk about ethics and governance of AI. These events serve as an important platform for sharing new research and exchanging knowledge.
The December session of the TUM IEAI Speaker Series will take place on 1 December 2020, 12pm (CEST), virtually via Zoom. We will send out the link to all registered attendees on the day of the event.
We are pleased to announce that the speaker for this session is Iyad Rahwan, who will be talking about Experiments in Machine Behavior: Cooperating With and Through Machines.
Iyad Rahwan is a director of the Max Planck Institute for Human Development in Berlin, where he founded and directs the Center for Humans & Machines. He is also an honorary professor of Electrical Engineering and Computer Science at the Technical University of Berlin. Until June 2020, he was an Associate Professor of Media Arts & Sciences at the Massachusetts Institute of Technology (MIT). A native of Aleppo, Syria, Rahwan holds a PhD from the University of Melbourne, Australia.
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, Nature and PNAS, and features regularly in major media outlets, including the New York Times, The Economist, and the Wall Street Journal.