The 4th Annual Data Privacy Conference USA
as the organisers put it
The 2022 edition of the Data Privacy Conference USA will take place in Washington D.C. and online, and draw together thought leaders, the public and private sectors and legislators to discuss the most topical and timely issues relating Data Privacy in the US.
who it's for
regulators and policymakers, privacy lawyers, in-house compliance officers, technology policy researchers, product managers, healthcare technology leaders, security and privacy engineers
topics
FTC ANPR rulemaking; commercial surveillance rulemaking; antitrust and privacy tradeoffs; US-EU data transfer adequacy; Cloud Act executive agreements; model contract clauses for transfers; COPPA reform and childrens ads; surgical metaverse AR overlays; AI CT/MRI surgical simulation; eye-tracking and biometric data; notice-and-cure remediation regimes
| title | author | length |
|---|---|---|
| Session 1 | Dennis Collinan, Brenna Trew, Lorrie Faith Cranor, Pam Manasse | 01h 16m |
Panel covers the FTC’s active 95-question ANPR exploring bright‑line rules under the Magnuson‑Moss process, explains that prevalence thresholds are undecided… | ||
| Session 2 | Alison P. | 01h 11m |
Panel debates whether antitrust can police privacy, offers concrete examples and tradeoffs: cites the Facebook‑WhatsApp change in privacy incentives… | ||
| Session 3 | Cam Kerry | 01h 14m |
Panel recaps progress on a US–EU replacement for Privacy Shield, noting the CJEU invalidation two years ago and an agreement in principle (25 March) that… | ||
| Session 4 | Senator Ed Markey | 01h 08m |
Author of COPPA argues U.S. must update 24-year-old law, reports COPPA 2.0 passed Senate Commerce committee in July and would ban targeted ads to children and… | ||
| Session 5 | Peter A. Swire, Kate Womersley, John Verrico, Robert S. Litt | 01h 02m |
Panelists explain how the Cloud Act resolves two conflicts of law by codifying US extraterritorial reach and enabling Cloud Act executive agreements (two… | ||
| Session 6 | Lindsey Barrett, Will Duffield, Tani Olhanoski, Jay Banerjee, Jonathan Litchman | 56m |
Demonstrates a working medical use case: an FDA-cleared surgical metaverse in ~90 hospitals that uses an AI converts CT/MRI to surgical simulations and AR… | ||
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