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FPF has put together a list of Twelve Privacy Investments for Your Company for a Stronger 2025 that reflects on new perspectives on the work that privacy teams do at their organizations. We hope there is something here that’s useful where you work, and we’d love to hear other ideas and feedback. Privacy Investments for […]

[…] more than 700 AI-related bills, and 2025 is off to an even quicker start, with more than 40 proposals on dockets in the first days of the new year. In Washington D.C., a post-election reshuffle presents unique opportunities to address AI issues on a national level, with one party controlling the White House and […]

[…] AI legislation. Maryland passed the  Maryland Online Data Privacy Act (MODPA) as well as the Maryland Age-Appropriate Design Code Act” (Maryland AADC).  Following Connecticut’s lead last year, Virginia and Colorado both amended their state privacy laws to add specific online protections for kids’ data. FPF also examined genetic privacy laws from Montana, Tennessee, Texas, […]

[…] The probabilistic nature of these models also makes them prone to generating plausible but factually incorrect information, and their accuracy can deteriorate over time as they encounter new data or their training data becomes outdated. To address these challenges, the Guidelines recommend that organizations should implement comprehensive measures, including thorough testing with diverse datasets, […]

[…] to train AI systems, developers have to do so on an anonymised basis.  Regulators continue to work on implementing updates to data protection laws to deal with new and emerging challenges A third theme that emerged from the panel discussion was how regulators were planning to continue working on updates to their data protection […]

[…] minimization provisions are also elements of recent sectoral laws including the Washington State My Health My Data Act, the New York Child Data Protection Act, and the Virginia Child Data Privacy Amendment. Taken together, these frameworks portend a new trend toward substantive data minimization standards; however, their statutory requirements vary in subtle but consequential […]

[…] Council’s Digital Forensics Research Lab for the Opening Keynote. With previous roles as chief technology correspondent for Politico, and more than a decade as correspondent for the New York Times, Scott provided a thorough and frank analysis of Europe’s “digital challenge” as the focus shifts from rulemaking to enforcement.  For this year’s program, Professor […]

[…] take steps to minimize them. In response to the growing use—and uncertainty around—AI impact assessments, the Future of Privacy Forum (FPF) Center for Artificial Intelligence published a new report, “AI Governance Behind the Scenes: Emerging Practices For AI Impact Assessments” to examine the considerations, emerging practices, and challenges that companies are experiencing as they […]

For some time now, stakeholders at the intersection of data, privacy, and new technologies have increasingly recognized the potential of a range of technical and computational approaches and techniques to mitigate privacy risks. This set of tools and methods are otherwise known as privacy-enhancing technologies (PETs) and are understood as a group of techniques […]

Today, the Future of Privacy Forum (FPF) launched a new report—Anatomy of State Comprehensive Privacy Law: Surveying the State Privacy Law Landscape and Recent Legislative Trends. By distilling this broad landscape to identify the “anatomy” of state comprehensive privacy law, this report highlights the strong commonalities and the nuanced differences between the various laws, […]