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U.S. Privacy Landscape
[…] compliance management services as principal of Data Protection Counsel PLLC. Julian previously was a senior associate in the Privacy and Cybersecurity group at Hogan Lovells and was one of the first policy fellows at the Future of Privacy Forum. Julian’s law practice covers a broad range of data protection issues in the U.S. and […]
The African Union’s Continental AI Strategy: Data Protection and Governance Laws Set to Play a Key Role in AI Regulation
[…] achieve the strategic objectives of the AU with regard to AI use in Africa, while addressing the societal, ethical, security, and legal challenges associated with AI-driven systems. One of the Strategy’s first action points focuses on establishing appropriate AI governance systems and regulations at regional and national levels. Another focuses on encouraging cross-border data […]
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
[…] credentialing programs and zero-knowledge proofs to provide assurance that a particular individual online is in fact a human, or that a given online account is the official one and not an imposter. As generative AI becomes more powerful, and synthetic content more convincing, malicious impersonation, disinformation, and NCII and CSAM may pose even greater […]
Processing of Personal Data for AI Training in Brazil: Takeaways from ANPD’s Preliminary Decisions in the Meta Case
[…] its compatibility with data protection laws. A key issue is under which legal basis companies might be able to process personal data for training AI models. Another one is how the rights of individuals with regard to their personal data can be safeguarded, as well as how to mitigate potential risks arising from the […]
Synthetic Content: Exploring the Risks, Technical Approaches, and Regulatory Responses
[…] increasing transparency around generative AI systems and content, and placing limitations on certain synthetic content. However, while these approaches may address some challenges with synthetic content, each one is individually limited in its reach and implicates a number of tradeoffs that policymakers should address going forward. Read the Report: Synthetic Content: Exploring the Risks, […]
Out, Not Outed: Privacy for Sexual Health, Orientations, and Gender Identities
[…] and each of them include “sexual orientation” as a category of sensitive data or sensitive personal information subject to special protections. However, of these 18 laws, only one (Maryland) affirmatively includes “gender-affirming treatment” in its scope of sensitive information, although three of the states (Oregon, Delaware, and New Jersey) do explicitly include “status as […]
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 […]
Sylvia Klasovec (Kingsmill), BA, LLB
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 […]