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Iyad Rahwan

8 Podcast Episodes

Latest 6 Aug 2022 | Updated Daily

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AI Ethics, the Trolley Problem, and a Twitter Ghost Story with Joshua Greene And Iyad Rahwan

Future of Life Institute Podcast

As technically challenging as it may be to develop safe and beneficial AI, this challenge also raises some thorny questions regarding ethics and morality, which are just as important to address before AI is too advanced. How do we teach machines to be moral when people can't even agree on what moral behavior is? And how do we help people deal with and benefit from the tremendous disruptive change that we anticipate from AI?To help consider these questions, Joshua Greene and Iyad Rawhan kindly agreed to join the podcast. Josh is a professor of psychology and member of the Center for Brain Science Faculty at Harvard University. Iyad is the AT&T Career Development Professor and an associate professor of Media Arts and Sciences at the MIT Media Lab.

45mins

31 Oct 2017

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자율주행차는 어떤 도덕적 판단을 내려야 할까? | 아이야드 라흐반(Iyad Rahwan)

TEDTalks 기술

보행자 다섯 명을 구하기 위해서라면, 당신의 자율주행차는 당신을 죽여야 할까요? 여기 자율주행차의 사회적 딜레마에 관한 입문 강연에서 아이야드 라흐반은 이 기술이 어떻게 우리의 도덕성에 도전 할 것인지를 탐구합니다. 그리고 그의 일에 대해 설명을 하는데, 그것은 실제 사람들로부터 그들이 기꺼이 하려는 (그리고 하지 않으려는) 윤리적인 트레이드 오프에 대한 자료를 수집하는 일입니다.

13mins

22 Aug 2017

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¿Qué decisiones morales deberían tomar los vehículos autónomos? | Iyad Rahwan

TEDTalks Tecnología

Si para salvarle a vida a cinco peatones tu vehículo autónomo tuviera que matarte a ti ¿debería hacerlo? En esta introducción a los dilemas sociales de los vehículos autónomos, Iyad Rahwan analiza cómo esta tecnología va a desafiar nuestra moralidad. Asimismo, Rahwan explica su trabajo de recolección de datos a través de encuestas con el público, acerca de los compromisos éticos que estamos dispuestos a hacer, o no.

13mins

22 Aug 2017

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Quelles décisions morales les voitures sans conducteur devraient-elles prendre? | Iyad Rahwan

TEDTalks Technologie

Votre voiture sans conducteur devrait-elle vous tuer pour sauver cinq piétons? Dans cette introduction sur le dilemme social des voitures sans conducteur, Iyad Rahwan examine comment la technologie peut défier notre moralité. Il présente aussi son travail en ayant réuni des informations auprès de la population à propos des compromis éthiques que nous sommes (ou pas) prêts à faire.

13mins

22 Aug 2017

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What moral decisions should driverless cars make? | Iyad Rahwan

TED Tech

Should your driverless car kill you if it means saving five pedestrians? In this primer on the social dilemmas of driverless cars, Iyad Rahwan explores how the technology will challenge our morality and explains his work collecting data from real people on the ethical trade-offs we're willing (and not willing) to make.

13mins

22 Aug 2017

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Welche moralischen Entscheidungen sollten fahrerlose Autos treffen? | Iyad Rahwan

TEDTalks Technologie

Sollte Ihr fahrerloses Auto Sie opfern, um fünf Fußgängern das Leben zu retten? In dieser Einführung in soziale Dilemmas von fahrerlosen Autos untersucht Iyad Rahwan, wie die Technologie unsere Moral herausfordern wird. Außerdem berichtet er von seiner Arbeit, bei der er Daten echter Menschen darüber sammelt, welche ethischen Kompromisse sie eingehen (und nicht eingehen) wollen.

13mins

22 Aug 2017

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Quais decisões morais os carros autônomos devem tomar? | Iyad Rahwan

TEDTalks Tecnologia

Seu carro autônomo deveria matar você, em vez de cinco pedestres? Nesta introdução sobre os dilemas sociais dos carros autônomos, Iyad Rahwan explora como a tecnologia desafiará nossa moralidade e explica o seu trabalho de obtenção de dados de pessoas comuns, sobre quais compromissos éticos estamos (e quais não estamos) dispostos a aceitar.

13mins

22 Aug 2017

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Joi Ito and Iyad Rahwan on AI & Society

Berkman Klein Center for Internet and Society: Audio Fishbowl

AI technologies have the potential to vastly enhance the performance of many systems and institutions, from making transportation safer, to enhancing the accuracy of medical diagnosis, to improving the efficiency of food safety inspections. However, AI systems can also create moral hazards, by potentially diminishing human accountability, perpetuating biases that are inherent to the AI's training data, or optimizing for one performance measure at the expense of others. These challenges require new kinds of "user interfaces" between machines and society. We will explore these issues, and how they would interface with existing institutions.About Joi ItoJoi Ito is the director of the MIT Media Lab, Professor of the Practice at MIT and the author, with Jeff Howe, of Whiplash: How to Survive Our Faster Future (Grand Central Publishing, 2016). Ito is chairman of the board of PureTech Health and serves on several other boards, including The New York Times Company, Sony Corporation, the MacArthur Foundation and the Knight Foundation. He is also the former chairman and CEO of Creative Commons, and a former board member of ICANN, The Open Source Initiative, and The Mozilla Foundation. Ito is a serial entrepreneur who helped start and run numerous companies including one of the first web companies in Japan, Digital Garage, and the first commercial Internet service provider in Japan, PSINet Japan/IIKK. He has been an early-stage investor in many companies, including Formlabs, Flickr, Kickstarter, littleBits, and Twitter.Ito has received numerous awards, including the Lifetime Achievement Award from the Oxford Internet Institute and the Golden Plate Award from the Academy of Achievement, and he was inducted into the SXSW Interactive Festival Hall of Fame in 2014. Ito has been awarded honorary doctorates from The New School and Tufts University.About Iyad RahwanIyad 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, 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.More info on this event here:https://cyber.harvard.edu/events/luncheons/2017/04/Ito

1hr 9mins

13 Apr 2017