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California’s SB 53: The First Frontier AI Law, Explained
[…] assessments, their results, and the role of any third-party evaluators. Disclosure of Safety Incidents: Frontier developers are required to report critical safety incidents to the Office of Emergency Services (OES). OES must also establish a mechanism for the public to report critical safety incidents. Covered incidents include unauthorized tampering with a model that causes […]

The State of State AI 2025 SUPPLEMENTAL
[…] system’s outputs may be inaccurate or inappropriate. New York A 6578 Asm. Bores (D) Generative AI The “AI Training Data Transparency Act,” would regulate generative AI model/ service training data, including requiring generative artificial intelligence model/service developers to publicly post information on their training data. Table 13. Enrolled or Enacted and Passed (in at […]

The State of State AI 2025
[…] states are bringing claims of potentially deceptive and exploitative treatment of minors and insufficient data-collection notices. A parent in Florida sued Character.AI (C.AI), a companion AI chatbot service, for negligence and the wrongful death of her teenage son, who took his own life after the chatbot allegedly encouraged him to do so. Similarly, two […]

Harriet Pearson

Nuala O’Connor

“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
[…] to reflect a user’s preferences and characteristics. For example, when a person onboards to an AI companion experience, it may prompt the new user to connect the service to other accounts and answer “tell me about yourself” questions. The experience may then generate an AI companion that has the personality of a US president […]

“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
[…] a Utah user’s input to customize how an advertisement is presented to the user, determine whether to display an advertisement to the user, or determine a product/ service to advertise to the user;Suppliers must ensure that the chatbot divulges that it is AI and not a human in certain contexts (e.g., before the user […]

“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
[…] deep connection with a user to continue, the user, who has become dependent on the system for emotional support, empathy, understanding, and loyalty, may continue their chatbot service subscription; Privacy infringements: A system that emulates human qualities (e.g., emotional intelligence and empathy) can reduce users’ concerns about privacy infringements. The anthropomorphisation these characteristics engender […]

A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
[…] or disasters. Data-driven pricing bills, on the other hand, are less prescriptive in regards to the amount sellers are allowed to change prices, but apply beyond just emergency situations. While many apply uniformly across the economy, some are focused on particular sectors, including: Housing: eg, California SB 52 Food establishments: eg, Massachusetts S 2515 […]

Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] repeat customers who sign up for the program. In return, the company receives additional customer data. Dynamic pricing: Rapidly changing the price of a particular product or service based on real-time analysis of market conditions and consumer behavior. Consumer segmentation or profiling: A profile is created for a customer based on their personal data, […]