Tokyo 2016 | Speakers: Iyad Rahwan

Iyad Rahwan

イヤッド・ラーワンはMIT Media LabのMedia Arts and Sciences准教授でScalable Cooperationグループを率いている。彼はMITでの准教授就任に先立ち、MITと共同で設立されたアブダビを拠点とする研究大学であるMasdar Instituteで准教授を務めていた。彼はコンピューターと社会学が交差する分野に関する研究しており、集団知能と大規模協力を促進するメカニズムとテクノロジーの探求を行っている。2012年の米国国務省のTag Challenge(タグチャレンジ)では、ソーシャルメディアを用いて12時間以内に顔写真だけを頼りに遠く離れた街にいる人物を探しだすというプトジェクトで、チームを優勝に導いた。ラーワンの研究は「Science and Proceedings of the National Academy of Sciences (ナショナル・アカデミー・オブ・サイエンス)」を含む主な学術誌に掲載され、「エコノミスト」「サイエンティフィック・アメリカン」「ニュー・サイエンティスト」をはじめとした有力なメディアに取り上げられている。シリアのアレッポ出身でオーストラリアのメルボルン大学で博士号を取得。

Iyad Rahwan is an associate professor of media arts and sciences at the MIT Media Lab, where he heads the Scalable Cooperation group. Prior to joining MIT, Rahwan was an associate professor at Masdar Institute, an Abu Dhabi-based research university established in cooperation with MIT. Rahwan's work lies at the intersection of the computer and social sciences. His research explores mechanisms and technologies that promote collective intelligence and large-scale cooperation. In 2012, he led the winning team in the US State Department's Tag Challenge, in which he used social media to locate individuals in remote cities within 12 hours using only their mug shots. Rahwan's work appeared in major academic journals, including Science and Proceedings of the National Academy of Sciences, and was featured in popular media, including The Economist, Scientific American, and New Scientist. A native of Aleppo, Syria, Rahwan holds a PhD from the University of Melbourne, Australia.


Society-in-the-Loop Artificial Intelligence: Autonomous Vehicles and Beyond


Artificial Intelligence is reshaping our world by increasing the ability of machines to take autonomous decisions, not only in factories, but also in our daily human environment. This raises an urgent question: how can we ensure that autonomous machines, such as household robots and autonomous cars, behave in line with human values, norms and ethics? For example, what should an autonomous car do when it detects an imminent accident, with unavoidable harm to human life? Using ideas from philosophy, social psychology, and experimental ethics, we explore the ethical behaviors that people expect from autonomous machines. These studies also highlight the dilemmas that society, government and industry have to face in designing these systems.