The African Union’s Continental AI Strategy: Data Protection and Governance Laws Set to Play a Key Role in AI Regulation
By Chuma Akana, Former FPF Global Privacy Summer Fellow and Mercy King’ori, FPF Policy Analyst, Global Privacy The African Union (AU) Executive Council, composed of representatives of the 55 African Member States, approved the highly anticipated AU AI Continental Strategy (the Strategy) in July 2024. The adoption of the Strategy follows a period of stakeholder […]
Processing of Personal Data for AI Training in Brazil: Takeaways from ANPD’s Preliminary Decisions in the Meta Case
Data Protection Authorities (DPAs) across the globe are currently wrestling with fundamental questions raised by the emergence of generative AI and 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 […]
Do LLMs Contain Personal Information? California AB 1008 Highlights Evolving, Complex Techno-Legal Debate
By Jordan Francis, Beth Do, and Stacey Gray, with thanks to Dr. Rob van Eijk and Dr. Gabriela Zanfir-Fortuna for their contributions. California Governor Gavin Newsom signed Assembly Bill (AB) 1008 into law on September 28, amending the definition of “personal information” under the California Consumer Privacy Act (CCPA) to provide that personal information can […]
Future of Privacy Forum Convenes Over 200 State Lawmakers in AI Policy Working Group Focused on 2025 Legislative Sessions
The Multistate AI Policymaker Working Group (MAP-WG) is convened by FPF to help state lawmakers from more than 45 states to collaborate on emerging technologies and related policy issues. OCTOBER 21, 2024 — In the lead-up to the 2025 legislative session, FPF is excited to convene the expanded Multistate AI Policymaker Working Group (MAP-WG)—a bipartisan […]
FPF Unveils Report on Emerging Trends in U.S. State AI Regulation
Today, the Future of Privacy Forum (FPF) launched a new report—U.S. State AI Legislation: A Look at How U.S. State Policymakers Are Approaching Artificial Intelligence Regulation— analyzing recent proposed and enacted legislation in U.S. states. As artificial intelligence (AI) becomes increasingly embedded in daily life and critical sectors like healthcare and employment, state lawmakers have […]
Privacy Roundup from Summer Developer Conference Season 2024
Ahh, summer. A time for hot dogs, swimming pools, and software developer conferences. For third-party application developers to deliver new tools with the best features for the lucrative fall quarter, they must have access to all the APIs and tools by the summer before. This has meant that early summer has become known as a […]
FPF Highlights Intersection of AI, Privacy, and Civil Rights in Response to California’s Proposed Employment Regulations
On July 18, the Future of Privacy Forum submitted comments to the California Civil Rights Council (Council) in response to their proposed modifications to the state Fair Employment and Housing Act (FEHA) regarding automated-decision systems (ADS). As one of the first state agencies in the U.S. to advance modernized employment regulations to account for automated-decision […]
FPF Responds to the Federal Election Commission Decision on the use of AI in Political Campaign Advertising
The Federal Election Commission’s (FEC) abandoned rulemaking presented an opportunity to better protect the integrity of elections and campaigns, as well as to preserve and increase public trust in the growing use of AI by candidates and in campaigns. When generative AI is used carefully and responsibly, it can reach different segments of the population […]
Connecting Experts to Make Privacy-Enhancing Tech and AI Work for Everyone
The Future of Privacy Forum (FPF) launched its Research Coordination Network (RCN) for Privacy-Preserving Data Sharing and Analytics on Tuesday, July 9th. The RCN supports the Biden-Harris Administration’s commitments to privacy, equity, and safety articulated in the administration’s Executive Order on Artificial Intelligence (AI). Industry experts, policymakers, civil society, and academics met to discuss the […]
NEW FPF REPORT: Confidential Computing and Privacy: Policy Implications of Trusted Execution Environments
Written by Judy Wang, FPF Communications Intern Today, the Future of Privacy Forum (FPF) published a paper on confidential computing, a privacy-enhancing technology (PET) that marks a significant shift in the trustworthiness and verifiability of data processing for the use cases it supports, including training and use of AI models. Confidential computing leverages two key […]