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[…] standard as a factor for determining actual knowledge risks conflating COPPA’s applicability tests with the goals of these CPA amendments while simultaneously relying on inferences about potential users to assess a covered entities “actual knowledge” as to a particular user’s age. Additionally, the CPA’s directed to minors standard covers minors under the age of […]

[…] in dete rm in in g what co n stit u te s will f u ll y dis re g ard in g th at a use r is a min or may le ad to co n fu sio n ra th er th an harm on iz a tio n wit […]

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: […]

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 […]