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[…] ste m s th at have gene ra te d , or le ake d , se nsit iv e in fo rm atio n to end use rs . Early exa m ple s of th is ca n b e fo und in th e N YT v. OpenA I la w […]

“Algorithmic pricing,” “surveillance pricing,” “dynamic pricing”: in states across the U.S., lawmakers are introducing legislation to regulate a range of practices that use large amounts of data and algorithms to routinely inform decisions about the prices and products offered to consumers. These bills—targeting what this analysis collectively calls “data-driven pricing”—follow the Federal Trade Commission […]

[…] other risks. ● Helps draft FPF reports. Stacey Gray, Senior Director for Artificial Intelligence, [email protected] Biometrics – Quarterly calls ● Private sector participants interested in technologies that use biometric data, such as for recognition and verification, detection, characterization, persistent tracking, and other emerging use cases such as digital identity and emotion analysis. ● Discusses […]

As of halfway through 2025, four U.S. states have enacted laws regarding “neural data” or “neurotechnology data.” These laws, all of which amend existing state privacy laws, signify growing lawmaker interest in regulating what’s being considered a distinct, particularly sensitive kind of data: information about people’s thoughts, feelings, and mental activity. Created in response to […]

[…] can reveal stress or arousal). It also means that an incredibly broad swath of data could be considered neural data: the movement of a computer mouse or use of a smartwatch may technically constitute, under certain definitions, neural data. As such, there is a significant difference between laws that cover both CNS and PNS […]

[…] uy, se ll, or sh are pers o nal data o f 10 0,0 00 or more Calif o rn ia r e sid ents or ho use ho ld s; OR (iii) d eriv e 50 % or more an nual r e ve nue fr o m se llin g Calif o […]

[…] nor ungoverned, as policymakers are actively working to develop both soft and hard regulations for AI and to clarify how existing data protection laws apply to its use. Josh presented on global AI governance, highlighting the rapid legislative changes in the APAC region over the past six months, and comparing developments in South Korea, […]

[…] that offer participating organizations the opportunity to experiment with emerging technologies within a controlled environment, usually combining regulatory oversight with reduced enforcement. Sandboxes often encourage organizations to use real-world data in novel ways, with companies and regulators learning how new data practices are aligned –  or misaligned – with existing governance frameworks. The lessons […]

[…] discussed the benefits related to privacy and broader compliance requirements this technique captures.   To learn more about the presentation and discussion, download FPF’s new Issue Brief, PETs Use Case: Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption.  The second PET presentation by Robert Pisarczyk, CEO and Co-Founder of Oblivious, was an overview […]

[…] a Privacy Enhancing Technologies (PETs) Workshop in Washington, DC, convening industry, academia, and civil society experts to explore practical applications of PETs. The workshop featured two leading-edge use cases: Mastercard’s cross-border fraud detection system using Fully Homomorphic Encryption (FHE), and Oblivious’s approach to end-of-life data retention via Differential Privacy. Discussions emphasized the growing role […]