Revises provisions relating to artificial intelligence. (BDR 36-393)
Summary
AB 325 revises Nevada law governing emergency management and public utilities to limit the role of artificial intelligence in certain high-stakes disaster-response decisions. The bill defines “artificial intelligence” for purposes of emergency management as a machine-based system that can make predictions, recommendations, or decisions affecting real or virtual environments. It then requires state emergency management plans and local or state emergency operations plans to include provisions ensuring that final decisions about emergency response planning and the allocation of resources during an emergency are made by a natural person, not AI.
The bill also adds a new restriction in the public utility statutes. A public utility may not make a final decision to reduce or shut down utility service in response to a disaster or emergency based solely on artificial intelligence. The measure does not ban AI use altogether; rather, it preserves human oversight and final decision-making authority in emergency planning and utility service interruption decisions.
Impact
AB 325 amends Chapter 414 of the Nevada Revised Statutes by adding a definition of artificial intelligence and requiring emergency management plans to include human-decision safeguards. It also amends Chapter 704 to restrict public utilities from relying solely on AI when deciding whether to curtail or shut off service during a disaster or emergency. The practical effect is to impose a statutory human-in-the-loop requirement for emergency response planning and certain utility emergency actions, affecting state and local agencies and regulated utilities.
Sentiment
The bill appears to have been broadly supported and noncontroversial in the legislative process. It passed the Assembly 41-0 and the Senate 21-0, indicating unanimous approval in both chambers. The available record shows no committee transcript debate, suggesting little publicized opposition or extended controversy.
Contention
The main policy issue raised by the bill is the balance between using AI for efficiency in emergency management and preserving human accountability for life-safety decisions. Supporters of the bill likely favored ensuring that final decisions about resource allocation and utility shutoffs remain with people rather than automated systems. Any potential concern would center on whether the restrictions are too narrow or too broad for utilities and emergency agencies using AI as a decision-support tool, but the final votes suggest no significant organized opposition.
Requires school districts to provide instruction on artificial intelligence; requires Secretary of Higher Education to develop artificial intelligence model curricula.