Adopt the Artificial Intelligence Consumer Protection Act
LB642 would create the “Artificial Intelligence Consumer Protection Act” and establish a broad state framework regulating certain artificial intelligence systems used in consumer-facing decisions. The bill defines “algorithmic discrimination,” “high-risk artificial intelligence systems,” “developers,” and “deployers,” and focuses on AI used to make or materially assist consequential decisions affecting education, employment, lending, government services, health care, housing, insurance, legal services, and parole/probation decisions. It also requires disclosures, documentation, risk management, impact assessments, consumer notices, and certain appeal and correction rights when high-risk AI is used in these contexts.
The bill places duties on both developers and deployers. Developers would have to use reasonable care to protect consumers from known risks of algorithmic discrimination, provide documentation and risk information to deployers, and disclose known discrimination risks to other known users. Deployers would have to implement risk management programs, complete impact assessments, notify consumers when high-risk AI is used in consequential decisions, and provide explanations and appeal opportunities for adverse decisions. The Attorney General would have exclusive enforcement authority, with a notice-and-cure process before suit, and the bill would not create a private right of action.
LB642 would add a new chapter of state consumer protection law governing AI systems, especially those that make or influence consequential decisions. It would affect businesses that develop or deploy high-risk AI in Nebraska, while also creating specific exemptions for some small deployers, certain federally regulated entities, some insurance-related uses, and some federal government uses. The bill would also interact with existing anti-discrimination, privacy, trade secret, and evidentiary privilege laws by defining when disclosures are required and by preserving certain legal protections and exemptions. If enacted, it would likely require affected companies to change procurement, documentation, auditing, notice, and internal governance practices for AI systems used in covered decision-making.
The bill’s overall policy direction appears protective and regulatory, with a strong consumer-rights and anti-discrimination focus. Even without recorded committee testimony or votes, the text suggests an intent to impose significant transparency and accountability obligations on AI developers and deployers, while still allowing some flexibility through recognized risk-management frameworks and compliance safe harbors. The fact that the bill was ultimately indefinitely postponed indicates it did not advance, but the available record does not show direct opposition or support from committee discussion.
The main points of contention likely would have been the scope and burden of compliance, especially for developers and deployers of high-risk AI systems that would need to produce documentation, conduct impact assessments, provide consumer notices, and maintain risk-management programs. Another likely issue is the bill’s broad definition of consequential decisions and its application to many sectors, including employment, housing, lending, insurance, health care, and government services. Additional friction points include the Attorney General’s exclusive enforcement authority, the absence of a private right of action, the treatment of trade secrets and proprietary information, and the bill’s exemptions for certain regulated entities and federal-use cases. Supporters would likely emphasize consumer protection, nondiscrimination, and transparency, while critics would likely focus on compliance costs, uncertainty, and potential effects on innovation.