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“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 (FTC)’s […]

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 […]

[…] APAC, and was attended by around 200 representatives from industry, including data protection officers (DPOs) and chief technology officers (CTOs). FPF’s segment of the workshop had two parts: an  informational segment featuring presentations from FPF and IMDA, followed by a multi-stakeholder, practice-focused panel discussion. FPF at “AI, AI, Captain! – Steering your organisation in […]

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 […]

[…] s re se arc h ers fle xib ilit y to fo cu s th eir budg et on t h e most re le va nt parts of th e data se t, allo w in g th em to maxim iz e th e accu ra cy of th e in sig […]

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 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] […]

Introduction As the U.S. population ages, technologies that can help support older adults are becoming increasingly important. These tools, often called “AgeTech”, exist at the intersection of health data, consumer technology, caregiving relationships, and increasingly, artificial intelligence, and are drawing significant investment. Hundreds of well funded start-ups have launched. Many are of major interest to […]

[…] exhortation applies equally to developers of pre-trained LLMs and deployers who may fine-tune LLMs or engage in other forms of post-training, such as reinforcement learning. There are ample good practices for this. Techniques may be applied on the training corpus before model training to remove, reduce or hide personal data: e.g. pseudonymisation (to de-identify […]