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[…] ca st of ch a ra cte rs – a ll wit h uniq ue back sto rie s.” ” I n tr o d ucin g New A I Exp erie nce s Acro ss Our Fa m ily of Apps and D evic e s , ” Sep t. 27, 20 23, […]

[…] to giving users insight into whether a chatbot provider may use data gathered to enable personalization features for model training purposes. Chatbot and companions’ conversational interfaces create new opportunities for users to understand what data is gathered about them, for what purposes, and take actions that can have legal effects (e.g., requesting that data […]

[…] laws where appropriate; Ensuring that consumer controls and opt-out rights operate as expected to adequately enable consumer choice; Considering where consumer rights requirements can be adjusted to promote socially beneficial activities, such as bias testing, or provide additional flexibility in light of technical and administrative challenges; and Leverage existing business practices and standards set […]

[…] 45 0 27 N ew ark , NJ 0710 1 R E: Pro p ose d ru le s to im ple m en t th e New Je rs e y Data Priv a cy Act D ear Actin g Dir e cto r Fais , T han k yo u fo r […]

[…] 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 […]

[…] personality-like features, whether it is a specific voice mode, or a consistent persona, or even a range of “AI companions.” Even if companion-like personalities are not directly promoted as features, users can build them using system prompts and customized design; an early 2023 feature of OpenAI enabled users to create custom GPTs.  Figure 3 […]

[…] protection of fundamental rights and using AI for economic and societal progress;  (iii) have a strong preference for ex ante, risk-based regulation;  (iv) introduce institutional multistakeholder frameworks for AI governance, either by creating new agencies or assigning responsibility to existing ones, and  (v) have specific provisions for responsible innovation and controlled testing of AI technologies.