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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 […]

Regulatory Strategies of Data Protection Authorities in the Asia-Pacific Region: 2024, and Beyond
[…] regarding privacy. This Report provides a comprehensive analysis of strategy documents and key regulatory actions of the DPAs in 10 jurisdictions, published or developed in 2023 and 2024, setting out regulatory priorities for the following years: 1. Australia 2. China 3. Hong Kong, Special Administrative Region of China (SAR) 4. Japan 5. Malaysia 6. […]

Updated FPF Infographic Explores Data in Connected Vehicles
[…] on connected vehicles has built upon this initial product, providing additional resources, up to and including the Vehicle Safety Systems Privacy Risks and Recommendations report from March 2024. The report specifically highlights the potential for privacy risks to exist when new technology is incorporated, through requirement or choice, In addition to comments to the […]

Infographic Explores Driver Data Collection and Use in Connected Cars
FPF’s “Data and the Connected Vehicle” Demystifies Connected Car Ecosystem as Policymakers Look to Regulate SEPT. 16, 2024 — Vehicle technologies are evolving rapidly, in every facet of the system, from safety features to entertainment, and occupant convenience. Many of these new features are enabled by the collection of driver and occupant data – […]

FPF Unveils Report on Emerging Trends in U.S. State AI Regulation
[…] U.S. states. As artificial intelligence (AI) becomes increasingly embedded in daily life and critical sectors like healthcare and employment, state lawmakers have begun crafting regulatory strategies to promote its opportunities while addressing its heightened risks. This report by FPF delves into the trends of these legislative efforts, examines core questions and issues, and offers […]

Call for Nominations: 15th Annual Privacy Papers for Policymakers Award
Future of Privacy Forum Award Elevates Privacy Research to Inform Policy Discussion September 9, 2024 —The Future of Privacy Forum (FPF) invites scholars and authors with an interest in privacy issues to submit finished papers to be considered for its 15th annual Privacy Papers for Policymakers (PPPM) Awards. The award provides privacy and data […]

Five ways in which the DPDPA could shape the development of AI in India
[…] and extraction of certain information from webpages might contain personal data, including sensitive categories of personal data, which could “carry peculiar risks for the fundamental rights and freedoms” of individuals. Processing of publicly available personal data would not be subject to obligations under the DPDPA to the extent that any personal data contained in […]

Does the GDPR Need Fixing? The European Commission Weighs In
[…] interpretation of the GDPR by national DPAs remains fragmented as DPAs continue to adopt diverging interpretations of key data protection concepts, creating legal uncertainty and disrupting the free movement of personal data. Some of the specific issues raised by stakeholders include different views on the appropriate legal basis for processing personal data, diverging opinions […]

Privacy Roundup from Summer Developer Conference Season 2024
[…] text-to-video generation model (Veo); and a new iteration on their text-to-image generation model (Imagen 3). Google engineers have also announced several open models (Gemma 2B and 7B; CodeGemma; and PaliGemma). The privacy tradeoff of model size is this: the smaller the model, the easier it is to operate locally. Large models are more efficiently […]