November 12, 2015
Booth Auditorium, Boalt Hall
UC Berkeley Campus
In the policy and scholarly debate over privacy, the protection of personal information is often set against the benefits society is expected to gain from large scale analytics applied to individual data. An implicit assumption underlays the contrast between privacy and ‘big data’: economic research is assumed to univocally predict that the increasing collection and analysis of personal data will be an economic win-win for data holders and data subjects alike – some sort of unalloyed public good. This lecture will work from within traditional economic frameworks to scrutinize this notion. In so doing, it will highlight how results from economic research on data sharing and data protection paint a much more nuanced picture, and how neoclassical economic models do not necessarily predict that more data sharing, and less privacy protection, lead to increases in individual or aggregate welfare.
Prof. Alessandro Acquisti, Carnegie Mellon University
Registration: 3:00 – 3:30 PM
Presentation: 3:30 – 5:30 PM
Reception: 5:30 – 6:30 PM
UC Berkeley School of Law certifies that this activity has been approved for 2.00 hours Continuing Legal Education credit by the State Bar of California.
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