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FPF Training Program – FAQs
[…] up to 3 days prior to the training date. After that, we offer a full credit that can be applied to a future FPF Training using a promo code that we provide you. If you’ve registered for a session but decide you’d prefer to attend a different session, you can transfer your registration to […]

U.S. Legislative Trends in AI-Generated Content: 2024 and Beyond
[…] 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 […]

Processing of Personal Data for AI Training in Brazil: Takeaways from ANPD’s Preliminary Decisions in the Meta Case
[…] 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 […]

Do LLMs Contain Personal Information? California AB 1008 Highlights Evolving, Complex Techno-Legal Debate
[…] 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 […]

Updated February 25, 2025: FPF no longer coordinates the Multistate AI Policymaker Working Group
[…] 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: […]

Two (too?) Hard Questions for Data Protection and Generative AI
[…] Forum (FPF) at the Global Privacy Assembly (GPA) for an official side event, Two (too?) Hard Questions for Data Protection and Generative AI, on Wednesday, 30 October 2024 from 2:30 – 4:00pm GMT at the La Mare Wine Estate where we will dive into the tricky world of Generative AI and Data Protection. Two […]

Out, Not Outed: Privacy for Sexual Health, Orientations, and Gender Identities
[…] 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 […]

Peter M. Lefkowitz

FPF Analysis of New Requirements for Generative AI Use by Healthcare Entities in Patient Communications
[…] 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 […]

FPF Submits Comments to Inform New York Children’s Privacy Rulemaking Processes
At the end of the 2024 legislative session, New York State passed a pair of bills aimed at creating heightened protections for children and teens online. One, the New York Child Data Protection Act (NYCDPA), applies to a broad range of online services that are “primarily directed to children.” The NYCDPA creates novel substantive […]