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With Chris Wiggins (Prof. Applied Math, Columbia), Matthew Jones (Prof. History, Princeton), Liz O'Sullivan (CEO, Vera).
Tue, Dec 05, 2023 @ 06:00 PM   $25   Betaworks, 29 Little W 12th St
 
   
 
 
              
 
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Join us for a book talk with authors Chris Wiggins & Matthew L. Jones, who will discuss their new book "How Data Happened: A History from the Age of Reason to the Age of Algorithms," moderated by Liz O'Sullivan.
While data involves technology & math, it's not a black box or monolith we have to obey. It's an unstable, contingent power struggle among states, corporations, & people. The book is a must-read for data scientists & global citizens alike: it lays out the history & rules of this struggle so we can collectively create a future where data serves our highest goals of humanism & progress. Wiggins & Jones marshal the work of experts to reveal how algorithmic systems reproduce, via automated decisions, systemic inequalities.

Wiggins is a data scientist who developed machine learning methods at Columbia & is chief data scientist at The New York Times. Jones is a historian of science. Their broad & deep expertise & complementary perspectives make them the ideal guides to explain the history of data & its technical, political, & ethical impact on our world.

Our panel
Chris Wiggins is an associate professor of applied mathematics at Columbia University & the New York Times's chief data scientist. He resides in New York City.
Matthew L. Jones is a professor of history at Princeton University & has been a Guggenheim Fellow. He resides in Princeton.
Liz O'Sullivan is CEO of Vera, the AI reliability platform. Prior to founding Vera, Liz spent 11 years in NYC startups on the business side of AI companies, managing data operations & all types of commercial functions along the way. Liz has advised many local, federal, & international bodies on approaches to regulating AI, including NYC council, Congress, & the United Nations. Most recently, Liz was appointed to be an inaugural member of the United States' first National AI Advisory Committee, a federal body tasked with advising the US White House & Congress on how to foster AI adoption & regulate its risks.
 
 
 
 
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