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November 26, 2024 — This week, the Future of Privacy Forum (FPF), a global non-profit focused on data protection, privacy,  and emerging technologies, hosted the second annual Japan Privacy Symposium with support from S&K Brussels LPC and in cooperation with the Personal Information Protection Commission of Japan (PPC) and the Japan DPO Association.  This […]

[…] context of AI and emerging technologies, and steward their adoption and scalability.  Through these initiatives and other efforts, FPF has identified a growing demand among stakeholders to promote and enhance a better understanding and awareness of the potential and limitations of PETs. Many regulators and organizations have made significant contributions to advancing PETs development […]

[…] upon the existing frameworks and add novel obligations, rights, and exceptions to respond to changing societal, technological, and economic trends. Read the report here Between 2018 and 2024, nineteen U.S. states enacted comprehensive consumer privacy laws. This rapid adoption of privacy legislation has caused the legal landscape to explode in depth and complexity as […]

[…] research and evaluation: Ongoing African-led research is needed to assess new risks arising from AI development and use in Africa; evaluate the efficacy of governance tools to promote the development and use of AI systems that are inclusive, fair, sustainable, and just; review best practices in AI governance coming out of similar country contexts […]

[…] proposals to regulate synthetic content have primarily focused on authentication, transparency, and restrictions. Generally speaking, policymakers have sought to address the potential risks of synthetic content by promoting techniques for authenticating content, establishing requirements for disclosing the use of AI, and/or setting limitations on the creation and distribution of deepfakes. Authentication techniques, which involve […]

[…] enforcement priorities and the future of “legitimate interests.”  Round 1: ANPD Suspends Meta’s Processing for AI Training Purposes The ANPD issued a preventive Measure on July 2, 2024, requiring the immediate suspension of the processing of personal data by Meta for the purpose of training its generative AI model. The decision came after Meta […]

[…] actions. Greater collaboration between regulators and technical experts may also help build a shared understanding of personal information in LLMs, non-LLM AI models, and AI systems and promote consistency in data protection regulation.  Even if California’s policy and legal conclusions ultimately differ from conclusions in other jurisdictions, building a shared (technical) understanding will help […]

[…] Maryland Senator Katie Fry Hester (D) Minnesota Representative Steve Elkins (D) Minnesota Representative Kristin Bahner (D) New York Senator Kristen Gonzalez (D) Texas Representative Giovanni Capriglione (R) Virginia Delegate Michelle Maldonado (D)  Learn more about the work of the Multistate AI Policymaker Working Group here. FPF Clarifies Non-Partisan State Work February 25, 2025 By: […]

[…] applied.” However, without comprehensive privacy legislation at the federal level, there is a lack of guidance regarding collecting and sharing data while protecting user privacy.  Additionally, in 2024, the U.S. Department of Health and Human Services (HHS) issued a rule designed to prevent discrimination based on gender identity or sexual orientation by healthcare providers […]

[…] Communications Intern On September 28, Governor Gavin Newsom signed California AB 3030, among a host of AI bills. CA AB 3030 amended the California Health & Safety Code and requires specified healthcare entities to disclose the use of generative artificial intelligence (AI) in provider-patient communications through visual or verbal disclaimers presented before, during, and/or […]