In this webinar, Professor Daniel Solove discusses with Max Schrems the future of EU-US data transfers in light of the Trump Administration’s actions regarding the PCLOB and the authoritarian turn in the US government. The discussion also includes GDPR enforcement and class actions in the EU. Speakers include: Daniel Solove (GW Law & TeachPrivacy) Max Schrems (noyb)
Category: GDPR
Posts about GDPR by Professor Daniel J. Solove for his blog at TeachPrivacy, a privacy awareness and security training company.
Artificial Intelligence and Privacy – FINAL VERSION
I’m delighted to share the newly-published final version of my article: Artificial Intelligence and Privacy 77 Florida Law Review 1 (2025) The article aims to provide the conceptual and practical ground work for how to understand the relationship between AI and privacy as well as provide a roadmap for how privacy law should regulate AI. […]
The Prediction Society: AI and the Problems of Forecasting the Future – FINAL VERSION
I’m thrilled to announce the release of the final version of my article. The Prediction Society: AI and the Problems of Forecasting the Future 2025 Illinois Law Review 1 (2025) Abstract: Predictions about the future have been made since the earliest days of humankind, but today, we are living in a brave new world of […]
U.S. State Privacy Laws – A Lack of Imagination
The U.S. lacks a federal comprehensive privacy law, but the states have sprung into action by passing broadly-applicable consumer privacy laws. Nearly 20 states have passed such laws – so about 40% of the states now have privacy laws. Are these laws any good? Short answer: No But I am glad they exist. Well, sort […]
The Great Scrape: The Clash Between Scraping and Privacy
I’m posting a new article draft with Professor Woodrow Hartzog (BU Law), The Great Scrape: The Clash Between Scraping and Privacy. We argue that “scraping” – the automated extraction of large amounts of data from the internet – is in fundamental tension with privacy. Scraping is generally anathema to the core principles of privacy that […]
Artificial Intelligence and Privacy
I’m delighted to post my new article draft, Artificial Intelligence and Privacy. The article aims to provide the conceptual and practical ground work for how to understand the relationship between AI and privacy as well as provide a roadmap for how privacy law should regulate AI. Here’s the abstract: This Article aims to establish a foundational understanding […]
Data Is What Data Does: Regulating Based on Harm and Risk Instead of Sensitive Data
I’m delighted to share the final published version of my article, Data Is What Data Does: Regulating Based on Harm and Risk Instead of Sensitive Data, 118 Nw. U. L. Rev. 1081 (2024). This article was selected for the Future of Privacy Forum’s Privacy Papers for Policymakers Award. The Award aims to “recognize leading U.S. and […]
Webinar – GDPR Enforcement: A Conversation with Max Schrems Blog
In case you missed my discussion with Max Schrems, you can watch the replay here. We discussed cross-border data transfer, litigation challenges and strategies, and potential reforms of the GDPR enforcement process.
Dataministeriet Podcast Interview About Privacy Law
I had a great discussion with Filip Johnssén about various privacy law issues on his podcast, Dataministeriet. It begins in Swedish, then turns to English after a brief introduction.
The Prediction Society: Algorithms and the Problems of Forecasting the Future
I am excited to share my new paper draft with Hideyuki (“Yuki”) Matsumi, The Prediction Society: Algorithms and the Problems of Forecasting the Future. The paper is available for free on SSRN. Yuki is currently pursuing a PhD at Vrije Universiteit Brussel. Yuki began his career as a technologist, then turned to law, where he […]