AI & Machine Learning

This year, FPF continued to broaden its footprint across priority areas of data governance, further expanding activities across a range of cross-sector topics, including AI, Youth, Conflict of Laws, AgeTech (seniors), and Cyber-Security.  We have engaged extensively at the local level and national level in the United States, and we are increasingly active in every […]

Introduction For better or worse, the U.S. is heading into 2026 under a familiar backdrop: no comprehensive federal privacy law, plenty of federal rumblings, and state legislators showing no signs of slowing down. What has changed is just how intertwined privacy, youth, and AI policy debates have become, whether the issue is sensitive data, data-driven […]

On Cyber Monday, giving supportive technology to an older loved one or caregiver is a great option. Finding the perfect holiday gift for an older adult who values their independence can be a challenge. This year, it might be worth exploring the exciting world of AI-enabled AgeTech. It’s not only gadgets; it’s also about giving […]

State lawmakers accelerated their focus on AI regulation in 2025, proposing a vast array of new regulatory models. From chatbots and frontier models to healthcare, liability, and sandboxes, legislators examined nearly every aspect of AI as they sought to address its impact on their constituents. To help stakeholders understand this rapidly evolving environment, the Future […]

Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These range from general purpose LLMs, to the rapidly growing market for LLM-powered AI companions, educational aides, and corporate assistants. There are clear trends among this overall focus: towards […]

This post is the fourth and final blog post in a series on personality versus personalization in AI systems. Read Part 1 (exploring concepts), Part 2 (concrete uses and risks), and Part 3 (intersection with U.S. law). Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to […]

This post is the third in a series on personality versus personality in AI systems. Read Part 1 (exploring concepts) and Part 2 (concrete uses and risks).   Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These […]

This post is the second in a multi-part series on personality versus personalization in AI systems, providing an overview of these concepts and their use cases, concrete risks, legal considerations, and potential risk management for each category. The previous post provided an introduction to personality versus personalization.  In AI governance and public policy, the many […]

Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These range from general purpose LLMs, to the rapidly growing market for LLM-powered AI companions, educational aides, and corporate assistants. There are clear trends among this overall focus: towards […]

The widespread adoption of artificial intelligence (AI) continues to impact societies and economies around the world. Policymakers worldwide have begun pushing for normative frameworks to regulate the design, deployment, and use of AI according to their specific ethical and legal standards. In Latin America, some countries have joined these efforts by introducing legislative proposals and […]