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We are now in 2025, the year of AI agents. Leading large language model (LLM) developers (including OpenAI, Google, Anthropic) have released early versions of technologies described as “AI agents.” Unlike earlier automated systems and even LLMs, these systems go beyond previous technology by having autonomy over how to achieve complex, multi-step tasks, such as […]

FPF has updated our 2017 resource (“Distilling the Harms of Automated Decision-making”) with the goal of identifying and categorizing a broad range of potential harms that may result from automated decision-making, including heightened harms related to generative AI (GenAI), and potential mitigation practices. FPF reviewed leading books, articles, and other literature on the topic of […]

With the close of Utah’s short legislative session, the Beehive State is once again an early mover in U.S. tech policy. In March, Governor Cox signed several bills related to the governance of generative Artificial Intelligence systems into law. Among them, SB 332 and SB 226 amend Utah’s 2024 Artificial Intelligence Policy Act (AIPA) while HB 452 establishes new regulations for […]

With the close of Utah’s short legislative session, the Beehive State is once again an early mover in U.S. tech policy. In March, Governor Cox signed several bills related to the governance of generative Artificial Intelligence systems into law. Among them, SB 332 and SB 226 amend Utah’s 2024 Artificial Intelligence Policy Act (AIPA) while […]

On March 14, the Future of Privacy Forum (FPF), submitted comments in response to the Request for Information on the Development of an Artificial Intelligence (AI) Action Plan published in the Federal Register on February 6, 2025. FPF is a non-profit organization that serves as a catalyst for privacy leadership and scholarship, advancing principled data […]

To highlight the wide range of current use cases for Artificial Intelligence (AI) in education and future possibilities and constraints, the Future of Privacy Forum (FPF) today released a new infographic, Artificial Intelligence in Education: Key Concepts and Uses. While generative AI tools that can write essays, generate and alter images, and engage with students […]

To highlight the wide range of current use cases for Artificial Intelligence (AI) in education and future possibilities and constraints, the Future of Privacy Forum (FPF) today released a new infographic, Artificial Intelligence in Education: Key Concepts and Uses. While generative AI tools that can write essays, generate and alter images, and engage with students […]

For some, it may have come as a surprise that the first existential legal challenges large language models (LLMs) faced after their market launch were under data protection law, a legal field that looks arcane in the eyes of those enthralled by novel Artificial Intelligence (AI) law, or AI ethics and governance principles. But data protection law […]

Hundreds of state AI bills have been introduced, but which are the ones to follow? How do the leading bills differ and what are the key areas of debate? How are state legislators thinking about U.S. AI leadership and how do they want to advance both benefits and safeguards? What role does FPF’s Multistate AI […]

Thank you for the contributions of Rob van Eijk, Marlene Smith, and Katy Wills We are now in 2025, the year of AI agents. In the last few weeks, leading large language model (LLM) developers (including OpenAI, Google, Anthropic) have released early versions of technologies described as “AI agents.” Unlike earlier automated systems and even […]