1) Critical Engagement with Machine Learning and AI
- Danielle Keats Citron & Frank Pasquale, The Scored Society: Due Process for Automated Predictions, 89 Wash. L. Rev. 1 (2014)
- David Lehr & Paul Ohm, Playing with the Data: What Legal Scholars Should Learn About Machine Learning, 51 U.C. Davis L. Rev. 653 (2017),
- Sonia Katyal, Why You Should Be Suspicious of That Study Claiming A.I. Can Detect a Person’s Sexual Orientation (2017),
- Article 29 Working Party, Guidelines on Automated individual decision-making and Profiling for the purposes of Regulation 2016/679 (Feb. 6, 2018)
2) Global Data Privacy Law and the Diffusion (or not) of EU Data Protection
- Lothar Determann, Adequacy of Data Protection in the USA: Myths and Facts (2016)
- Julie Brill, Two-Way Street: U.S.-EU Parallels Under the General Data Protection Regulation (2016)
- Paul M. Schwartz & Karl-Nikolaus Peifer, Transatlantic Data Privacy Law, 106 Geo. L.J. 115 (2017)
- Kurt Wimmer, The Long Arm of the European Privacy Regulator: Does the New EU GDPR Reach U.S. Media Companies? (2017)
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Keynote
- Kim Hazelwood, Sarah Bird, et al., Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective (Feb. 2018)
3) Big Data, Antitrust, and Privacy “Lock in”
- Ken Bamberger and Orly Lobel, Platform Market Power (2017)
- Caroline Holland, Mozilla Fellow, Taking on Big Tech Through Merger Enforcement (2018)
- Edith Ramirez, Deconstructing the Antitrust Implications of Big Data (2016)
4) Practitioners’ Panel
- Kirk J. Nahra, The Top Ten Data Security and Privacy Developments to Watch in 2018 (2018)
- Ronald I. Raether Jr. & Mark C. Mao, Top Data Governance Issues from 2017 and What to Watch in 2018 (2018)
- Joseph J. Lazzarotti, Jason C. Gavejian & Maya Atrakchi, Data Privacy Day: Top 10 for 2018 (2018)
- Allison Grande, Cybersecurity & Privacy Cases To Watch in 2018 (2018)
- Dan Solove, Does Cybersecurity Law Work Well? An Interview with Ed McNicholas (2015)