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DC Privacy Forum 2025: Governance for Digital Leadership and Innovation
[…] begins on April 4, 2025 Ticket Types: FPF Advisory Board Members Active FPF Advisory Board Member organizations enjoy complimentary registration for DCPF 2025. An email with the complimentary registration code has been sent to all eligible member organizations. How to Register: Use your company email address when registering. Our system will recognize your membership. Didn’t get your complimentary […]

16th Annual Advisory Board Meeting 2025
[…] networking among peers, fostering new connections and addressing common challenges. We anticipate lively group discussions and encourage active participation from each attendee. (Chatham House Rules & FPF’s Code of Conduct are to be followed please). 2025 Advisory Board Meeting Directory The directory link (COMING SOON!) will be shared here the week of the event. […]

The African Union’s Continental AI Strategy: Data Protection and Governance Laws Set to Play a Key Role in AI Regulation
[…] 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 […]

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 […]

Multistate AI Policymaker Working Group
[…] Steve Elkins (D) Minnesota Representative Kristin Bahner (D) Connecticut Senator James Maroney (D) Colorado Senator Robert Rodriguez (D) Florida Representative Fiona McFarland (R) New York Senator Kristen Gonzalez (D) Texas Representative Giovanni Capriglione (R) Virginia Delegate Michelle Maldonado (D) Want to learn more about FPF initiatives? Check out our Linkedin Live on state AI legislation.

Out, Not Outed: Privacy for Sexual Health, Orientations, and Gender Identities
[…] data privacy laws – Washington (My Health, My Data Act (MHMD)) and Nevada (SB 370). Both laws have definitions for “consumer health data,” and include a non-exhaustive list of qualifying categories of information, including “gender-affirming care” information. Additionally, both laws define “consumer health data” as “health information derived or inferred from non-health data,” which […]

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
[…] user is over 17 years of age, or the service has obtained verifiable parental consent (VPC). The legislative intent makes clear that ordering content in a chronological list would not be considered an “addictive feed.” A social media platform will also need to obtain VPC to provide notifications concerning an addictive feed to minors […]

Does the GDPR Need Fixing? The European Commission Weighs In
[…] its provisions to enhance children’s privacy and safety on online platforms. This policy priority has equally reflected in the data protection field, with DPAs working together to promote child protection in advertising and recently fining social media companies for GDPR violations when processing children’s data. Other key developments include the upcoming EDPB guidelines on […]

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 […]