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 […]
Practical Takeaways from FPF’s Privacy Enhancing Technologies Workshop
In April, the Future of Privacy Forum and the Mozilla Foundation hosted an all-day workshop with technology, legal, and policy experts to explore Privacy Enhancing Technologies (PETs). During the workshop, multiple companies presented technologies they developed and implemented to preserve individuals’ privacy. In addition, the participants discussed steps for broadening the adoption of these technologies […]
Privacy Enhancing Technologies Workshop Proceedings
On April 25, 2025, the Future of Privacy Forum and the Mozilla Foundation co-hosted a Privacy Enhancing Technologies (PETs) Workshop in Washington, DC, convening industry, academia, and civil society experts to explore practical applications of PETs. The workshop featured two leading-edge use cases: Mastercard’s cross-border fraud detection system using Fully Homomorphic Encryption (FHE), and Oblivious’s […]
Privacy Enhancing Technologies Workshop Proceedings
I S SU E BRIE F U .S . PO LIC Y P ETs Work sh op Pro ce ed in g 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 […]
PETs Use Case: Differential Privacy for End-of-Life Data
In this use case, Oblivious partnered with an insurance company to tackle a common tension between data privacy and utility: how to retain meaningful insights from personal data while complying with legal requirements to delete it. By applying Differential Privacy, the organization can preserve actuarial insights without violating global privacy laws, generating differentially private statistical […]
Use Case: Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption
Mastercard’s use of Fully Homomorphic Encryption (FHE) demonstrates how Privacy Enhancing Technologies (PETs) can support fraud detection across borders without compromising sensitive data. In this use case, Mastercard collaborated with Singapore’s Infocomm Media Development Authority to pilot a system that allows encrypted International Bank Account Numbers (IBANs) to be checked for fraud risk without revealing […]
Center for Artificial Intelligence
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Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
Data-driven pricing: A set of practices that use personal and/or non-personal data to routinely inform decisions about the prices and products offered to consumers, often for the purpose of price personalization. State lawmakers in the U.S. are seeking to regulate various pricing strategies that fall under the umbrella of data-driven pricing, following the release in […]
Tech to Support Older Adults and Caregivers: Five Privacy Questions for Age Tech
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 […]
Nature of Data in Pre-Trained Large Language Models
The following is a guest post to the FPF blog by Yeong Zee Kin, the Chief Executive of the Singapore Academy of Law and FPF Senior Fellow. The guest blog reflects the opinion of the author only. Guest blog posts do not necessarily reflect the views of FPF. The phenomenon of memorisation has fomented significant […]