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[…] role in shaping “well-balanced AI policies beyond our borders—especially in the absence of a comprehensive federal framework.” Supporters view the bill as a critical first step toward promoting transparency and reducing serious safety risks, while critics argue its requirements could be unduly burdensome on AI developers, potentially inhibiting innovation. These debates come as New […]

[…] AI development and deployment.  Enforcement tools and defense strategies: Legislatures expanded Attorney General investigative powers (such as civil investigative demands) in bills including Texas’ TRAIGA (enacted) and Virginia HB 2094 (vetoed). A variety of other defense mechanisms were introduced, including specific protections for whistleblowers, as represented in California’s SB 53 (enrolled). Looking Ahead to […]

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 […]

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 […]

[…] through user-generated input. For example, a 2015 claim against Snap, Inc. survived Section 230 dismissal following a claim that a specific “Speed Filter” Snapchat feature (since discontinued) promoted reckless driving.  In other cases, the personalization of a system through demographic-based targeting that causes harm may also implicate tort and product liability law when organizations […]

[…] the user is low-income because they live in a particular region). Depending on the system’s level of autonomy over data processing decisions, an AI system (e.g., the latest AI agents) that has received or observed data from users may be more likely to transmit that information to third parties in pursuit of accomplishing a […]

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 […]

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 OECD’s AI Principles, focused on transparency, security, and responsibility of AI systems, and to UNESCO’s AI Ethics Recommendation, which emphasizes the need for a human-centered approach, promoting social justice and environmental sustainability in AI systems.  All bills reviewed ground the development of AI in privacy or data protection as a guiding principle to […]