„Iyad Rahwan“ – Versionsunterschied
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== Projects == |
== Projects == |
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Rahwan has co-authored a number of popular platforms related to crowdsourcing and the ethics of machines. |
Rahwan has co-authored a number of popular platforms related to crowdsourcing and the ethics of machines. |
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=== The social dilemma of autonomous vehicles === |
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Rahman is one of the first to consider the problem of self autonomous vehicles as a ethical dilemma. His paper [http://science.sciencemag.org/content/352/6293/1573 The social dilemma of autonomous vehicles] found that people approved of [[utilitarian]] autonomous vehicles, and wanted others to purchase these vehicles, they themselves would prefer to ride in an autonomous vehicle that protected its passenger at all costs. Thus the paper concludes the regulation of utilitarian algorithms could paradoxically increase casualties by driving by inadvertently postponing the adoption of a safer technology.<ref>{{Cite web|url=http://science.sciencemag.org/content/352/6293/1573|title=The social dilemma of autonomous vehicles|last=|first=|date=|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref>. The paper spurred lots of coverage about the role of ethics in the creation of artificially intelligent driving systems. <ref>{{Cite web|url=https://www.weforum.org/agenda/2016/08/the-ethics-of-self-driving-cars-what-would-you-do/|title=World Forum discuses how self-driving cars will make life or death decisions|last=|first=|date=|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref><ref>{{Cite web|url=https://www.nytimes.com/2016/06/24/technology/should-your-driverless-car-hit-a-pedestrian-to-save-your-life.html|title=The New York Times discuses Should Your Driverless Car Hit a Pedestrian to Save Your Life|last=|first=|date=|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref><ref>{{Cite web|url=https://www.nytimes.com/2016/11/06/opinion/sunday/whose-life-should-your-car-save.html|title=Rahwan's op-ed in the New York Times about whose life your car should save|last=|first=|date=|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref> |
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=== The Tag Challenge === |
=== The Tag Challenge === |
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=== The Nightmare Machine === |
=== The Nightmare Machine === |
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The Nightmare Machine<ref>{{Cite web|url=http://nightmare.mit.edu|title=The Nightmare Machine|last=|first=|date=|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref> questions whether machines can learn to scare humans. The platform presents computer generated scary imagery powered by deep learning algorithms. |
The Nightmare Machine<ref>{{Cite web|url=http://nightmare.mit.edu|title=The Nightmare Machine|last=|first=|date=|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref> questions whether machines can learn to scare humans. The platform presents computer generated scary imagery powered by deep learning algorithms. |
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===Cooperating with machines === |
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Rahwan helped develop an algorithm, [https://arxiv.org/abs/1703.06207 S#], that successfully learned to cooperate with its partner faster and more effectively than a human in games of chicken, [[Prisoner's Dilemma]], and alternator.<ref>{{Cite web|url=http://www.sciencemag.org/news/2017/03/computers-learn-cooperate-better-humans|title=Computers learn to cooperate better than humans|last=|first=|date=|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref> |
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== References == |
== References == |
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Version vom 16. April 2017, 03:35 Uhr
Vorlage:Article for deletion/dated
Vorlage:Close paraphrasing Vorlage:BLP sources Vorlage:Infobox scientistIyad Rahwan is a Professor of Media Arts & Sciences at the MIT Media Lab, where he heads the Scalable Cooperation group. Rahway's work focuses on questions at the interface of Artificial Intelligence and society, and has particularly published in the areas of computational social science, collective intelligence, large-scale cooperation, and the social aspects of Artificial Intelligence. His work has appeared in top venues like Science and PNAS, and has been reported widely in the media. [1]
Biography
Rahman earned a B.Sc. from UAE University in Computer Science, a Masters in Information Technology from Swinburne University and his Ph.D., in Information Systems in 2005 at University of Melbourne. [2] After 4 years at the Masdar Institute of Science and Technology, Rahwan began an associate professorship at the MIT Media Lab, where he is the AT&T Career Development Professor and an affiliate faculty at the MIT Institute of Data, Systems and Society. [3]
Projects
Rahwan has co-authored a number of popular platforms related to crowdsourcing and the ethics of machines.
The social dilemma of autonomous vehicles
Rahman is one of the first to consider the problem of self autonomous vehicles as a ethical dilemma. His paper The social dilemma of autonomous vehicles found that people approved of utilitarian autonomous vehicles, and wanted others to purchase these vehicles, they themselves would prefer to ride in an autonomous vehicle that protected its passenger at all costs. Thus the paper concludes the regulation of utilitarian algorithms could paradoxically increase casualties by driving by inadvertently postponing the adoption of a safer technology.[4]. The paper spurred lots of coverage about the role of ethics in the creation of artificially intelligent driving systems. [5][6][7]
The Tag Challenge
Rahwan 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 photographic portrait. [8] The winning strategy, based on the DARPA Network Challenge winning strategy, was as follows:
You receive $500 if you upload an image of a suspect that is accepted by the challenge organizers. If a friend you invited using your individualized referral link uploads an acceptable image of a suspect, YOU also get $100. Furthermore, recruiters of the first 2000 recruits who signed up by referral get $1 for each recruit they refer to sign up with us (using the individualized referral link).[9]
Moral Machine
Moral Machine is an online platform that generates moral dilemmas and collects information on the decisions that people make between two destructive outcomes. The presented scenarios are often variations of the trolley problem, and the information collected would be used for further research regarding the decisions that machine intelligence must make in the future.
The Nightmare Machine
The Nightmare Machine[10] questions whether machines can learn to scare humans. The platform presents computer generated scary imagery powered by deep learning algorithms.
Cooperating with machines
Rahwan helped develop an algorithm, S#, that successfully learned to cooperate with its partner faster and more effectively than a human in games of chicken, Prisoner's Dilemma, and alternator.[11]
References
- ↑ Rahwan's Official MIT Webpage.
- ↑ Rahwan's CV.
- ↑ Rahwan's Official MIT Webpage.
- ↑ The social dilemma of autonomous vehicles.
- ↑ World Forum discuses how self-driving cars will make life or death decisions.
- ↑ The New York Times discuses Should Your Driverless Car Hit a Pedestrian to Save Your Life.
- ↑ Rahwan's op-ed in the New York Times about whose life your car should save.
- ↑ Rahwan's Official MIT Webpage.
- ↑ CrowdScanner.
- ↑ The Nightmare Machine.
- ↑ Computers learn to cooperate better than humans.