Resources

On June 30, the Future of Privacy Forum (FPF) submitted comments in response to the California Department of Justice’s (the Department’s) ongoing rulemaking process for the “Protecting Our Kids from Social Media Addiction Act” (the Act or SB 976). Signed into law in 2024, SB 976 bars operators of “addictive internet-based services” from providing an addictive feed to […]

In September 2023, the Future of Privacy Forum’s (FPF)’s Asia-Pacific (APAC) office published an issue brief, “Navigating CBDTs in the Asia-Pacific Region,” that summarized key developments in the regulation of cross-border data transfers (CBDTs) across the region between 2021 and 2023. This Issue Brief serves as an update to the 2023 publication, analyzing the most […]

On June 10, 2026, the FPF Center for Artificial Intelligence convened a Frontiers Workshop in Washington, DC. Held as part of FPF’s National Science Foundation (NSF) and the Department of Energy (DoE)-funded Privacy-Enhancing Technologies (PETs) Research Coordination Network, the workshop brought together privacy and frontier AI practitioners to examine challenges at the intersection of data governance […]

On June 22, Chairman Brett Guthrie (R-KY) and Ranking Member Frank Pallone (D-NJ) of the House Energy and Commerce Committee announced a new Kids Internet and Digital Safety Act (KIDS Act) bill draft, representing a bipartisan compromise to the legislative package initially introduced in November 2025. Among several other proposals, this new KIDS Act bill […]

Personalization—the use of personal data to tailor content and services to individual users—sits at the center of today’s most contested debates about youth and digital technology. This report provides a comprehensive framework for understanding personalization in youth online experiences, examining its mechanisms, benefits, risks, mitigations, and the emerging legislative and regulatory landscape.

Digital literacy, loosely defined as competency with a range of digital technologies, is a key skill for full social and democratic participation, but it is a difficult thing to measure across a large population. Having accurate data about how people use technology can inform how educators, policymakers, and technology companies make decisions and are especially […]

This comparative reference chart covers seven PETs — Differential Privacy, Synthetic Data, Federated Learning, Trusted Execution Environments, Secure Multi-Party Computation, Homomorphic Encryption, and Zero-Knowledge Proofs — across six dimensions: approach, benefits, limitations, example use case, data utility impact, and implementation complexity. The chart is designed as a standalone reference for practitioners who need to quickly […]

Educational research answers questions about program effectiveness, equity, access, and long‑term outcomes. EdTech vendors typically need student-level data and enough context to ensure their research is effective and accomplishes their goal. At the same time, disclosing student data to EdTech vendors may increase the risk of reidentification. The risk is not limited to direct identifiers […]

Educational research answers questions about program effectiveness, equity, access, and long‑term outcomes. Researchers typically need student-level data and enough context to ensure their research is effective and accomplishes their goal. At the same time, disclosing student data to researchers may increase the risk of reidentification. The risk is not limited to direct identifiers such as […]

This report describes the Privacy-Enhancing Technologies (PETs) most relevant to State Education Agencies (SEAs) and Statewide Longitudinal Data Systems (SLDS) environments, explains what each can and cannot do analytically and operationally, and provides use case guidance for matching PET selection to specific workflows. PETs complement rather than replace strong governance — data minimization, least-privilege access, […]