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Building a Responsible AI Program
[…] Questions? Cancellation Policy Cancellations will be honored, minus our vendor’s processing fee, up to 3 days prior to the session. For cancellations after that date, we will honor the registration for the next scheduled date of this session or an alternate FPF training class. angles screenshot 2024 07 30 at 1.53.37â¯pm Julian Flamant Profile Image
The AI Regulatory Landscape in the U.S.
[…] Questions? Cancellation Policy Cancellations will be honored, minus our vendor’s processing fee, up to 3 days prior to the session. For cancellations after that date, we will honor the registration for the next scheduled date of this session or an alternate FPF training class. angles screenshot 2024 07 30 at 2.06.36â¯pm Daniel Berrick Profile Image
FPF Launches New Privacy-Enhancing Technologies Repository
[…] context of AI and emerging technologies, and steward their adoption and scalability. Through these initiatives and other efforts, FPF has identified a growing demand among stakeholders to promote and enhance a better understanding and awareness of the potential and limitations of PETs. Many regulators and organizations have made significant contributions to advancing PETs development […]
FPF Unveils Report on the Anatomy of State Comprehensive Privacy Law
Today, the Future of Privacy Forum (FPF) launched a new report—Anatomy of State Comprehensive Privacy Law: Surveying the State Privacy Law Landscape and Recent Legislative Trends. By distilling this broad landscape to identify the “anatomy” of state comprehensive privacy law, this report highlights the strong commonalities and the nuanced differences between the various […]
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 […]
Japan Privacy Symposium
[…] such as AI, global data flows, and key enforcement trends. The event is set to take place at The Ritz-Carlton in Tokyo, Japan, on Monday, November 25, 2024, 18:00-20:00 JST, with a Coffee Reception beginning at 17:30 JST, the panel taking place from 18:00-19:00, and a closing Cocktail Reception at 19:00. English (Simultaneous interpretation […]
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 […]