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The tensions between free vs. proprietary software help focus us on foundational questions of governance that are threaded through the course. To what extent should new technologies be shaped and shared by anyone without gatekeeping? 2017 may find the Internet in middle age. Do its puzzles suggest anything about whether and how to resolve governance questions for more newly mainstreamed technologies like machine learning and other AI?
In addition to the challenges that the Internet has provided in regulation and governance, the inability to really understand what many “learned” algorithms do, and their ability to have properties and abilities beyond the capabilities of their initial designers, presents additional challenges when thinking about whether and how to regulate the research, as well as the deployment, of AI. Phenomena like digital currencies and distributed AI systems reprises the ideas and challenges of Barlow’s declaration of independence of cyberspace.EDIT PLAYLIST INFORMATION DELETE PLAYLIST
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|2.3||Show/Hide More||Cathy O'Neil, Weapons Of Math Destruction : How Big Data Increases Inequality And Threatens Democracy [e-book]. New York: Crown; 2016. Available from: eBook Collection (EBSCOhost), Ipswich, MA. Accessed December 10, 2016|
December 31, 2016
Harvard Law School, Berkman Center
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