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[…] The sections below explore these trends in greater detail, beginning with how states approac hed AI definitions in 2025 and turning to emerging issue areas, such as agent ic AI and data-driven pricing, that may define the next era of state AI policy. A. Definitional Uncertainty Remains a Core Challenge As AI Regulation Becomes […]

[…] including testing novel innovation-forward mechanisms, such as sandboxes and liability defenses. Looking ahead to 2026, issues like definitional uncertainty remain persistent while newer trends around topics like agentic AI and algorithmic pricing are starting to emerge. Classification of AI Legislation  To provide a framework to analyze the diverse set of bills introduced in 2025, […]

[…] a large context window or to engage in complex, multi-step reasoning.  Limiting Data Collection to What is Necessary or Appropriate: If a chatbot or AI companion has agentic features, it may make independent decisions about what data to collect and process in order to perform a task, such as booking a restaurant reservation. Designing […]

[…] While th e NJD PA does p ro vid e th at a co nsu m er may “d esig nate an auth o riz e d agent ” th ro ug h a va rie ty of mech an is m s t h at may exe rc is e all th re […]

[…] external threats and exfiltration of data can also implicate a wide range of US cybersecurity laws. In particular, this is the case as personalized systems become more agentic, including through greater access to systems to perform complex tasks. Legal frameworks may include sector-specific regulations, state breach notification laws, or consumer protections (e.g., the FTC’s […]

[…] is low-income because they live in a particular region). Depending on the system’s level of autonomy over data processing decisions, an AI system (e.g., the latest AI agents) that has received or observed data from users may be more likely to transmit that information to third parties in pursuit of accomplishing a task without […]

[…] including an AI governance testing framework and toolkit. More recently, in July 2025, Singapore announced the launch of another sandbox, the “Global AI Assurance Sandbox,” to address agentic AI and risks such as data leakage and vulnerability to prompt injections. Utah (United States): The First AI-Focused Regulatory Sandbox in the U.S. In the United […]

[…] m s fo r Gene ra tiv e AI Tra n sp are ncy ● Em erg in g 20 26 Tre nd s fo r AI Agents ● And More … p artis a n , wit h th e Majo rit y of Enacte d AI L T he fo rth co […]

[…] As the GLBA entity-level exemption is removed, that change is counterbalanced by new entity-level exemptions for some other financial institutions such as insurers, banks, and certain investment agents as defined under various federal and state laws. Shifting away from the GLBA entity-level exemption is responsive to concerns that organizations like payday lenders and car […]

[…] federal and state law, as Harper noted. The panelists agreed that transparency and accountability remain top of mind for businesses and regulators alike. Diving Deep into AI Agents: Opportunities and Challenges Staying on the topic of AI, the next panel, moderated by Bret Cohen, Partner at Hogan Lovells Privacy and Cybersecurity Practice, unpacked the […]