AI & Machine Learning

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 […]

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 […]

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 […]

India enacted the Digital Personal Data Protection Act, 2023 (DPDPA) on August 11, 2023, a comprehensive data protection law culminating from a landmark Supreme Court decision recognizing a constitutional right to privacy in India, and discussions on multiple drafts spanning over half a decade.  The law comes at a time when, globally, there has been […]

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 […]

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 […]

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 […]

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 […]

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 […]

Colorado made history on May 17, 2024 when Governor Polis signed into law the Colorado Artificial Intelligence Act (“CAIA”), the first law in the United States to comprehensively regulate the development and deployment of high-risk artificial intelligence (“AI”) systems. The law will come into effect on February 1, 2026, preceding the March, 2026 effective date […]