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U.S. Legislative Trends in AI-Generated Content: 2024 and Beyond
[…] As generative AI makes it easier to create and distribute synthetic content that is indistinguishable from authentic or human-generated content, many are concerned about its potential growing use in political disinformation, scams, and abuse. Legislative proposals to address these risks often focus on disclosing the use of AI, increasing transparency around generative AI systems […]
Darren Grayson Chng
Processing of Personal Data for AI Training in Brazil: Takeaways from ANPD’s Preliminary Decisions in the Meta Case
[…] by Meta for the purpose of training its generative AI model. The decision came after Meta announced a change in its privacy policy indicating that it could use “publicly available” information collected from users to train and enhance its AI system starting June 26, 2024. The ANPD initiated an ex-officio inspection (Proceeding No. 00261.004529/2024-36) […]
Do LLMs Contain Personal Information? California AB 1008 Highlights Evolving, Complex Techno-Legal Debate
[…] the tokens comprising the words “Tom” and “Cruise” are more closely related to each other than the tokens comprising “Tom” and “elevator” (or another random word). LLMs use a transformer architecture, which enables processing input text in parallel and captures long-range dependencies, allowing modern LLMs to engage in longer, more human-like conversations and greater […]
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: […]
Synthetic Content: Exploring the Risks, Technical Approaches, and Regulatory Responses
[…] which analyzes the various approaches being pursued to address the risks associated with “synthetic” content – material produced by generative artificial intelligence (AI) tools. As more people use generative AI to create synthetic content, civil society, media, and lawmakers are paying greater attention to some of the risks—such as disinformation, fraud, and abuse. Legislation […]
Out, Not Outed: Privacy for Sexual Health, Orientations, and Gender Identities
[…] particularly critical for those same individuals to have access to safe, secure, and practicable physical and mental health services. A poll by LGBT Tech shows LGBTQ+ individuals use online and digital health resources extensively to navigate information and access to healthcare. The National Coalition for LGBTQ Health has found that “LGBTQ people are more […]
FPF Analysis of New Requirements for Generative AI Use by Healthcare Entities in Patient Communications
[…] 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 at the end of a communication. A new chart […]
Sylvia Klasovec (Kingsmill), BA, LLB
FPF Submits Comments to Inform New York Children’s Privacy Rulemaking Processes
[…] teen users who are outside the scope of the federal Children’s Online Privacy Protection Act (COPPA). Under the law, a covered business must obtain “informed consent” to use teen data or the processing must be strictly necessary to meet one of nine enumerated “permissible purposes” such as conducting internal business operations or preventing cybersecurity […]