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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: […]

[…] IN TE LLIG EN CE 2 T a b le of Con te n ts 1 I n tr o d uctio n 2 R eal-W orld Use s an d Concre te Ris ks of Pers o naliz atio n vs. P ers o nalit y in AI Syste m s 3 E […]

[…] 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 […]

[…] sc ra p in g is no t se ttle d . How eve r, lim it in g th e co lle ctio n an d use of p ub lic ly ava ila b le in fo rm atio n exa ce rb ate s th e ris k of Fir s […]

[…] 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 […]

[…] 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 […]