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A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
[…] conducting a 6(b) investigation to study how firms are engaging in so-called “surveillance pricing,” and the release of preliminary insights from this study in early 2025. With new FTC leadership signalling that continuing the study is not a priority, state lawmakers have stepped in to scrutinize certain pricing schemes involving algorithms and personal 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 […]

Tech to Support Older Adults and Caregivers: Five Privacy Questions for Age Tech
[…] state where a user lives, or whether the product falls under one of a growing number of state-level privacy laws or consumer health privacy laws. Laws like New York’s S929/NY HIPA, which remains in legislative limbo, reflect growing state interest in regulating sensitive and consumer health data that would likely be collected by AgeTech […]

Nature of Data in Pre-Trained Large Language Models
[…] Language Models (LLM) store copies of the data that they are trained on.1 In copyright circles, this has led to lawsuits such as the one by the New York Times against OpenAI that alleges that ChatGPT will reproduce NYT articles nearly verbatim.2 While in the privacy space, much ink has also been spilt over […]

Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
[…] build a trusted and innovative digital ecosystem. This post will unpack these landmark initiatives. First, we will examine the key amendments to Malaysia’s PDPA, focusing on the new obligations for businesses and how they compare with the European Union (EU)’s General Data Protection Regulation (GDPR) and other regional laws. We will then delve into […]