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“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
[…] through user-generated input. For example, a 2015 claim against Snap, Inc. survived Section 230 dismissal following a claim that a specific “Speed Filter” Snapchat feature (since discontinued) promoted reckless driving. In other cases, the personalization of a system through demographic-based targeting that causes harm may also implicate tort and product liability law when organizations […]

A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
[…] bills contain such exemptions—legislation might still inadvertently capture other accepted practices such as specials aligned with seasonal changes, bulk purchase discounts, deals on goods nearing expiration, or promotions to clear inventory. Lawmakers must also consider how any new definitions interact with definitions in existing law. For example, an early version of California AB 446, […]

Annual DC Privacy Forum: Convening Top Voices in Governance in the Digital Age
[…] for “Competition/Data Protection in an AI World.” Joined by Maureen Ohlhausen, Partner at Wilson Sonsini and Peter Swire, FPF Senior Fellow, and J.Z. Liang Chair at the Georgia Institute of Technology, this panel asked discussants to consider the key intersection between privacy and competition in the age of AI, focusing specifically on how regulators […]

Vermont and Nebraska: Diverging Experiments in State Age-Appropriate Design Codes
In May 2025, Nebraska and Vermont passed Age-Appropriate Design Code Acts (AADCs), continuing the bipartisan trend of states advancing protections for youth online. While these new bills arrived within the same week and share both a common name and general purpose, their scope, applicability, and substance take two very different approaches to a common goal: […]

The Curse of Dimensionality: De-identification Challenges in the Sharing of Highly Dimensional Datasets
[…] small or if keys are compromised. Secure implementation requires strong, unique salts per record and careful key management. Pseudonymization: As defined earlier, identifiers are replaced with artificial codes or pseudonyms. The link between the pseudonym and the real identity is maintained (often separately), allowing potential re-identification. k-Anonymity: This is a formal privacy model, not […]

Little Rock, Minor Rights: Arkansas Leads with COPPA 2.0-Inspired Law
[…] like “personal information” and “operator,” but in a few instances switches to “personal data” and “controller,” perhaps from borrowing language from more modern privacy laws like the Virginia Consumer Data Protection Act. The substantive data minimization trend continues While the federal COPPA framework is largely focused on consent, former Commissioner Slaughter noted in 2022 […]

What to Expect in Global Privacy in 2025
[…] fragmentation of the cross-border data transfer landscape globally and in APAC into clusters of likeminded jurisdictions, ranging from those like Singapore and Japan that are working to promote trusted data flows (especially through initiatives like the Global CBPRs) to those like Indonesia, India, and Vietnam that have recently renewed their interest in adopting data […]

The African Union’s Continental AI Strategy: Data Protection and Governance Laws Set to Play a Key Role in AI Regulation
[…] research and evaluation: Ongoing African-led research is needed to assess new risks arising from AI development and use in Africa; evaluate the efficacy of governance tools to promote the development and use of AI systems that are inclusive, fair, sustainable, and just; review best practices in AI governance coming out of similar country contexts […]

FPF Training Program – FAQs
[…] up to 3 days prior to the training date. After that, we offer a full credit that can be applied to a future FPF Training using a promo code that we provide you. If you’ve registered for a session but decide you’d prefer to attend a different session, you can transfer your registration to […]