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The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
[…] 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 the burgeoning neurotechnology industry, neural data laws in the U.S. seek to extend existing protections for the most sensitive of personal data to the newly-conceived legal category of “neural data.”
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
[…] category of “neural data.” Each of these laws defines “neural data” in related but distinct ways, raising a number of important questions: just how broad should this new data type be? How can lawmakers draw clear boundaries for a data type that, in theory, could apply to anything that reveals an individual’s mental activity? […]
FPF at PDP Week 2025: Generative AI, Digital Trust, and the Future of Cross-Border Data Transfers in APAC
[…] focusing on making the industry more capable of using AI responsibly. Wan Sie pointed to AI Verify, Singapore’s AI governance testing framework and toolkit, and the IMDA’s new Global AI Assurance Sandbox, as mechanisms that help organizations ensure their AI systems could demonstrate greater trustworthiness to users. Josh focused on trends from across the […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
[…] 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 learned can inform future data practices and potential regulatory revisions. In recent […]
Practical Takeaways from FPF’s Privacy Enhancing Technologies Workshop
[…] adoption of these technologies and their intersection with data protection laws. Mastercard’s Chief Privacy Officer, Caroline Louveaux, presented the first PET, a privacy-preserving technology tested in a new cross-border fraud detection system. Louveaux presented how the system employs Fully Homomorphic Encryption (FHE), a technique that enables analysis of encrypted data, and the participants discussed […]
Privacy Enhancing Technologies Workshop Proceedings
[…] s E xe cu tiv e Sum mary The Future of Privacy Forum (FPF) and the Mozilla Foundation hosted a PETs Workshop featuring short, expert panels exploring new and emerging Privacy Enhancing Technology (PET s) applications. A group of technical, legal, and policy experts from industry, civil society, and academia participated in the workshop, […]
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PETs Use Case_ Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption
[…] in doin g so , ca rr ie s an in he re n t la ck of fle xib ilit y , wit h e ach new use ca se re quir in g besp oke deve lo pm ent and su p port. P riv acy Ris ks: T he priv a […]
FPF-Portal-Basic-User-Guide
[…] To view all community Discussions, click on the Discussion tab at the top of the community homepage. From the Discussion page, you can click on the Post New Message button to start a conversation with your community members. Once you enter your Discussion post content, you can either post immediately, schedule your post for […]
State AI Legislation Report
[…] 118 8 (A I dia gno stic s by pra ctit io ne rs ) N ota ble exa m ple s in clu d e: ● New Yo rk S-3 0 08C (c o m pa nio n ch a tb ots ) ● Main e LD 17 2 7 (c h a […]