8:15am-9:00am |
Breakfast and Registration Breakfast sponsored by |
9:00am-9:05am |
Welcome Jim Dempsey, Executive Director, BCLT |
9:05am-10:15am |
1. Critical Engagement with Machine Learning and AI Demands for transparency, explainability, and interpretability of machine learning systems are proliferating. AI systems’ capacity to respond, personalize, nudge, and manipulate individuals challenge traditional concepts of personal autonomy and fair information practices while also posing concerns about the potential impact on professional judgment in healthcare, law and other fields. This panel will consider the promise of contestability to support sound collaboration between machine learning systems and humans and will discuss how information laws (such as trade secrecy) that seclude data from the public present challenges to the goal of explainability. Robert Blamires, White & Case LLP David Gunning, DARPA Sonia Katyal, UC Berkeley Law School, BCLT Deirdre Mulligan, UC Berkeley I School and Law School, BCLT
Powerpoints: S. Katyal- https://www.law.berkeley.edu/wp-content/uploads/2018/03/TradeSecrecy.Privacy.3.23.18.pptx D. Mulligan- https://www.law.berkeley.edu/wp-content/uploads/2018/03/Mulligan-Privacy-Law-Forum-w-NOTES-3.23.2018.pptx
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10:15am-10:45am |
Break |
10:45am-12:00pm |
2. Global Data Privacy Law and the Diffusion (or not) of EU Data Protection Much of the rest of the world is said to follow the EU model of data protection. Is this assertion correct? What are the grounds for the EU’s influence? Can U.S. law be harmonized or made interoperable with global data protection law? Lothar Determann, Baker McKenzie Alison Howard, Microsoft Michael Rubin, Latham & Watkins LLP Paul Schwartz, UC Berkeley Law School, BCLT Lindsey Tonsager, Covington
Powerpoint: P Schwartz- https://www.law.berkeley.edu/wp-content/uploads/2018/03/GDPR-BCLT_Privacy_Forum_2018_Final-2.pptx |
12:00pm-12:30pm |
Lunch Sponsored by: |
12:30pm-1:00pm |
Keynote: AI and Machine Learning: A Perspective from Facebook Joaquin Quinonero Candela, Director of Applied Machine Learning at Facebook Sarah Bird, Technical Program Manager for Facebook AI Research Joaquin Quinonero Candela and Sarah Bird will discuss the growing role of AI and machine learning at Facebook. They will describe how Facebook develops and deploys machine learning at scale, present some interesting applications of machine learning, and discuss some of the challenges and opportunities at the intersection of AI, ethics and privacy. |
1:00pm-1:20pm |
BCLT Privacy Award BCLT is proud to bestow its annual Privacy Award this year on Prof. Edward W. Felten in recognition of his public service bridging the gap between technology and policy. Prof. Edward Felten, Princeton University |
1:20pm-1:30pm | Break |
1:30pm-2:45pm |
3. Big Data, Antitrust, and Privacy “Lock In” This panel will consider the ways that the accumulation of big data might impair competition and consumer choice around privacy protection. In particular, it will consider the ways that consumers can be “locked-in” to particular platforms in ways that permit exploitation of personal information, and explore regulatory responses in the United States and Europe. Ken Bamberger, UC Berkeley Law School, BCLT Tom Brown, Paul Hastings LLP Caroline Holland, Mozilla Policy Fellow Tyler Newby, Fenwick & West LLP
Powerpoint: |
2:45pm-3:00pm |
Break |
3:00-4:30pm |
Practitioners’ Panel Privacy practitioners from leading law firms, major online companies, and the California Department of Justice will share insights on how to stay afloat in increasingly turbulent waters. Jennifer Martin, Orrick Ed McNicholas, Sidley Stacey Schesser, California Department of Justice Derek Smith, Airbnb Dan Stoller, Bloomberg Law Timothy Tobin, Hogan Lovells Michelle Visser, Ropes & Gray Paola Zeni, Palo Alto Networks |
4:30pm |
Reception Sponsored by |
Agenda
Privacy Law Forum: Silicon Valley
March 23, 2018