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[…] equip regulators with the resources and tools needed to craft effective regulation. In response to the Attorney General’s public comment on the proposed rules, FPF addressed two parts of the rulemaking for the Department’s consideration: The Department’s proposal to apply a COPPA-style “directed to minors” factor within the CPA’s “actual knowledge” standard, combined with […]

[…] equip regulators with the resources and tools needed to craft effective regulation. In response to the Attorney General’s public comment on the proposed rules, FPF addressed two parts of the rulemaking for the Department’s consideration: The Department’s proposal to apply a COPPA-style “directed to minors” factor within the CPA’s “actual knowledge” standard, combined with […]

[…] d onlin e sa fe ty wit h au to no m y an d a cce ss, we writ e ad dre ssin g tw o parts of th e ru le m akin g fo r th e Dep artm ent’s co nsid era tio n: ● Fir s t, th e […]

C on ce p ts in AI Gove rn an ce : P ers o n alit y vs. Pers o n aliz a tio n S ep te m ber 20 25 D an ie l Berric k S ta ce y Gra y 1 A bou t FP F T he Fu tu […]

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 […]

A ug ust 28 , 20 25 C ari Fais , Actin g Dir e cto r N ew Je rs e y Div is io n of Consu m er Affair s 1 2 4 Hals e y Str e et P O Box 45 0 27 N ew ark , NJ 0710 1 […]

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 […]

[…] populations (e.g., minors, many of whom have used AI companions) may be particularly susceptible to this risk due to their level of cognitive development and mental states. Amplification of biases and filter bubbles: Users may impart their biases to AI companions and chatbots, which, in an effort to customize experiences, may emulate these world […]

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 […]

[…] goal at hand, different technical guardrails and means of operationalizing “unlearning” have different levels of effectiveness. In this post-event summary, we highlight the key takeaways from three parts of the Roundtable on July 17:  Machine Unlearning: Overview and Policy Considerations  Core “Unlearning” Methods: Exact vs. Approximate Technical Guardrails and Risk Mitigation If you have […]