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Palantir - Privacy and Civil Liberties (PCL) & Machine Learning

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  • User John Grant, Lead of Palantir’s Privacy and Civil Liberties Team
  • ClockMonday 28 October 2019, 13:00-14:30
  • HouseFW26, Computer Laboratory.

If you have a question about this talk, please contact Christine Georgiou .

Food provided

Machine Learning (ML) is a ubiquitous tool enabling better decision making for Businesses and Governments but carries many hidden costs – technical, societal, ethical and legal. Palantir’s approach to ML is strongly influenced by the early days of the company regarding the merits of augmented intelligence in sensitive data environments and has tended to be cautious, even reserved – with amplifying Human agency as a primary objective. In this event Anthony Bak (Lead Engineer for Palantir’s Machine Learning Team) and Courtney Bowman (Lead of Palantir’s Privacy and Civil Liberties Team) invite you to join them in a discussion examining the pitfalls of naïve ML approaches, the practical and ethical virtues of augmented intelligence, and principles of good data science that we believe should be infused across machine learning work writ large.

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This talk is part of the Technical Talks - Department of Computer Science and Technology series.

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