Select Page

The projected benefits of data science and the paradigm of big data are not compatible with privacy focused regulation of information collection. Or… so goes a compelling and popular argument. However, not only does this argument play suspiciously well with the dominant business model of the commercial information industry, it relies on misconceptions and ambiguities of key terms. There is no denying that data science poses genuine and unprecedented challenges to privacy, but abandoning regulation of information collection in favor of use regulation will undermine a cornerstone of individual freedom.

Helen Nissenbaum, Professor of Information Science at Cornell Tech, will unravel the debate between those who continue to see continued value in protecting privacy and those who would forgo privacy in favor of use regulation of data analytics instead. The event will take place on Thursday, Nov. 9, in a distinguished lecture hosted by The Ohio State University Moritz College of Law titled “Must Privacy Give Way to Use Regulation?” Professor Neil Richards of the Washington University in St. Louis Law School, an internationally-recognized expert in privacy law, information law, and freedom of expression, will comment on Nissenbaum’s lecture and engage her in dialogue.

The event will take place in the Barrister Club, located at 25 W. 11th Ave., Columbus, Ohio, 43201 (located across 11th Avenue from Drinko Hall, above Panera). The lecture is free and open to the public. Parking is available in the South Campus Gateway garage. A public reception will follow the lecture. Please register in advance at: http://moritzlaw.osu.edu/data-and-governance/events/the-second-annual-sidley-austin-distinguished-lecture-on-big-data-law-and-policy/