The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
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 […]
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
Co-authored by Chris Victory, FPF Intern 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 […]
Neural Data State Tracker Chart
C re a te d by Ja m eso n Spiv a ck and Chris Vic to ry S ta te Neu ra l Data La w s, Sum mer 20 25 L e g is la tio n D esc rip tio n C ove re d en tit ie s O blig atio […]
FPF at PDP Week 2025: Generative AI, Digital Trust, and the Future of Cross-Border Data Transfers in APAC
Authors: Darren Ang Wei Cheng and James Jerin Akash (FPF APAC Interns) From July 7 to 10, 2025, the Future of Privacy Forum (FPF)’s Asia-Pacific (APAC) office was actively engaged in Singapore’s Personal Data Protection Week 2025 (PDP Week) – a week of events hosted by the Personal Data Protection Commission of Singapore (PDPC) at […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
Thanks to Marlene Smith for her research contributions. As policymakers worldwide seek to support beneficial uses of artificial intelligence (AI), many are exploring the concept of “regulatory sandboxes.” Broadly speaking, regulatory sandboxes are legal oversight frameworks that offer participating organizations the opportunity to experiment with emerging technologies within a controlled environment, usually combining regulatory oversight […]
PETs Use Case_ Differential Privacy for End-of-Life Data
I S SU E BRIE F U .S . PO LIC Y P ETs Use Case : D iff ere ntia l Priv a cy fo r End -o f- L if e Data O rg an iz a tio ns: Obliv io us; unnam ed in su ra n ce co m pan y […]
PETs Use Case_ Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption
I S SU E BRIE F U .S . PO LIC Y P ETs Use Case : P re ve ntin g Fin an cia l Fra u d Acro ss D iff ere nt Ju ris d ic tio ns wit h Fu ll y H om om orp hic Encry p tio n […]
FPF-Portal-Basic-User-Guide
FPF Portal Basic User Guide FPF Portal Login The FPF Portal is accessible to FPF Members via engage.fpf.org/ login . To login for the first time, click “Reset Password” and enter your email address. Then click “Send Password Link”. You will receive an email from the FPF Membership Team via Future of Privacy Forum <[email protected] […]
State AI Legislation Report
2 0 25 Tre n d s in U.S . Sta te AI Le g is la tio n A Lo ok at How U.S . Sta te Polic ym ake rs Are Appro achi ng Artifi cia l In te llig ence P re vie w of Fu tu re of Priv a cy […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
In the U.S., state lawmakers are seeking to regulate various pricing strategies that fall under the umbrella of “data-driven pricing”: practices that use personal and/or non-personal data to continuously inform decisions about the prices and products offered to consumers. Using a variety of terms—including “surveillance,” “algorithmic,” and “personalized” pricing—legislators are targeting a range of practices […]