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The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
[…] or both nervous systems—is the most appropriate level for regulation. This creates one of two problems for lawmakers. On one hand, defining “neural data” too broadly could create a scenario in which all bodily data is covered. Typing on a keyboard involves neural data, as the central nervous system sends signals through the peripheral […]
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
[…] regulatory sandboxes are not a panacea for AI governance, each of these issues can be potentially mitigated or addressed by sandboxes. Machine Learning and Generative AI Can Create Unpredictable Results As AI systems become increasingly advanced, they can present a challenge for legal compliance due to their lack of deterministic outcomes.1 Modern AI systems, […]
Privacy Enhancing Technologies Workshop Proceedings
[…] I S SU E BRIE F: U .S . PO LIC Y ○ Queries persist for a maximum of 2 minutes before dissolving (the key point and bonus feature of this process/tech is that it is not permanent), which aligns with the spirit of data localization requirements. How do you weigh the benefit of […]
PETs Use Case: Differential Privacy for End-of-Life Data
[…] By applying Differential Privacy, the organization can preserve actuarial insights without violating global privacy laws, generating differentially private statistical “snapshots” before erasing the underlying microdata. This approach creates a privacy-preserving middle ground between wholesale deletion (which eliminates analytical value) and indefinite retention (which risks noncompliance and harm). The system automates this transformation under strict […]
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FPF-Portal-Basic-User-Guide
[…] and add a Bio and Social Links . You can edit these sections via the icons highlighted in red in the image below. Take the time to create a more comprehensive profile by adding information that is not part of your existing FPF profile, such as uploading a photo and adding a bio. Adding […]
Center for Artificial Intelligence
FPF Spotlight FPF AI Events Subscribe Now Stay up to date with the latest AI news. Featured Resources FPF Center for AI
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] Rapidly changing the price of a particular product or service based on real-time analysis of market conditions and consumer behavior. Consumer segmentation or profiling: A profile is created for a customer based on their personal data, including behavior and/or characteristics, and they are placed within a particular audience segment. Based on the profile or […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] “surveillance pricing.” Using a variety of terms—including “surveillance,” “algorithmic,” and “dynamic” pricing—legislators are targeting a range of data-driven pricing practices that often look different from one another, create different benefits for consumers and companies, and carry different risks. Distinguishing and disaggregating these pricing strategies will help policymakers, businesses, and consumers better understand how the […]