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[…] such as under 13 or 21+. Estimation is less effective for discerning age in a narrow range like 17 vs 18. DECLARATION INFERENCE BEHAVIORAL / ACCOUNT Email linked to workplace apps, mortgage lender, 401k provider. Login patterns show weekday activity during business hours. Usage profile— professional services, financial products—infers adult user. Determining age by […]

[…] update adds a fourth category—inference—which draws reasonable conclusions about a user’s age range based on behavioral signals, account characteristics, or financial transactions. For example, an email address linked to workplace applications, a mortgage lender, or a 401(k) provider, combined with login patterns during business hours, may infer that a user is an adult. Relatedly, […]

[…] countering digital manipulation. How the Legal Basis for AI Training Is Framed in Data Protection Guidelines by Wenlong Li, Yueming Zhang, Qingqing Zheng, and Aolan Li ( link forthcoming) This paper investigates how the legal basis for AI training is framed within data protection guidelines and regulatory interventions, drawing on a comparative analysis of […]

[…] $3 million for subsequent ones, compared to SB 53’s cap at $1 million per violation.).  RAISE Act: Scope and Requirements Despite these distinctions, the RAISE Act largely mirrors California’s SB 53 in how it defines covered models, developers, and risks, resulting in a substantially similar compliance scope across the two states. The sections below […]

[…] in balancing consumer protection with AI growth, (5) definitional uncertainty, agentic AI, and algorithmic pricing are likely to be key topics in 2026. Learn further in a LinkedIn Live event with the report’s authors here. FPF Unveils Paper on State Data Minimization Trends Several states have enacted “substantive” data minimization rules that aim to […]

[…] whose digital lives are shaped early and have long-term consequences. 2. Learning from Governing Past Technologies to Inform Emerging Ones A recurring point across events was that today’s policy decisions about AI, algorithmic systems, and emerging technologies must be informed by lessons learned from regulating prior technologies—especially social media. Several experts stressed that generative […]

[…] comprehensive privacy laws were enacted in 2025, nine states amended their existing laws and regulators increased enforcement activity, providing further clarity (and new questions) about the meaning of the law. Today FPF is releasing its second annual report on the state comprehensive privacy law landscape—Anatomy of a State Comprehensive Privacy Law: Charting The Legislative Landscape. 

[…] were enacted in 2025, nine states amended their existing laws and regulators increased enforcement activity, providing further clarity (and new questions) about the meaning of the law. Today FPF is releasing its second annual report on the state comprehensive privacy law landscape—Anatomy of a State Comprehensive Privacy Law: Charting The Legislative Landscape.  Read the […]

[…] and opt-out requirements for uses of personal data; b usiness obligations such as transparency and data minimization, and security; an d enforcement. See Table 1 (Appendix) for links to these state laws and FPF’s prior analysis of each. Figure 1. Map of States with Comprehensive Consumer Privacy Laws (and Florida) as of October 2025 […]

[…] the Reservations Department directly at (202)775-0800 and identify yourself as a guest or participant in the Future of Privacy Forum’s group in order to receive the special group rates. Online Reservation Link: Future of Privacy Forum EIF | DC Privacy Forum and FPF Annual Board Meeting. Hotel Cancellation Policy: Guests must cancel their reservations at least 48 hours prior to […]