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[…] affairs, covering a broad set of issues that are central to building trust in the AI era, including regulatory governance, privacy, responsible AI, and data governance and use strategy. She advised Microsoft’s top executives and customers about some of the most important strategic geopolitical issues facing businesses today. At the FTC, Julie helped drive […]

[…] redirecting users away from harmful perspectives, and making disclosures about the system’s AI status and incapability at experiencing emotions. Meanwhile, risks related to personalization (e.g., access to, use, and transfer of more data, intimacy of inferences, and addictive experiences) may be best served through setting retention periods and defaults for sensitive data, exploring benefits […]

[…] laws, such as manipulating or otherwise unfairly treating consumers based on their relationship with, reliance on, or trust in a chatbot in a commercial setting, and the use of chatbots in mental health services and companionship roles.  While Section 230 of the Communications Decency Act (CDA) has historically protected companies from liability stemming from […]

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 […]

[…] omelette or a fancy frittata, and you respond in the chat to let Meta AI know that you’re a vegan. Meta AI can remember that information and use it to inform future recipe recommendations.” “Building Toward a Smarter, More Personalized Assistant,” Jan. 27, 2025, Meta “We’ve been creating AIs that have more personality, opinions, […]

[…] 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 establishing other […]

“Algorithmic pricing,” “surveillance pricing,” “dynamic pricing”: in states across the U.S., lawmakers are introducing legislation to regulate a range of practices that use large amounts of data and algorithms to routinely inform decisions about the prices and products offered to consumers. These bills—targeting what this analysis collectively calls “data-driven pricing”—follow the Federal Trade Commission […]

[…] can reveal stress or arousal). It also means that an incredibly broad swath of data could be considered neural data: the movement of a computer mouse or use of a smartwatch may technically constitute, under certain definitions, neural data. As such, there is a significant difference between laws that cover both CNS and PNS […]

[…] nor ungoverned, as policymakers are actively working to develop both soft and hard regulations for AI and to clarify how existing data protection laws apply to its use. Josh presented on global AI governance, highlighting the rapid legislative changes in the APAC region over the past six months, and comparing developments in South Korea, […]

[…] that offer participating organizations the opportunity to experiment with emerging technologies within a controlled environment, usually combining regulatory oversight with reduced enforcement. Sandboxes often encourage organizations to use real-world data in novel ways, with companies and regulators learning how new data practices are aligned –  or misaligned – with existing governance frameworks. The lessons […]