States Rush to Regulate AI in Health Insurance as Indiana and Alabama Enact New Oversight Laws

The integration of artificial intelligence into healthcare operations, particularly health insurance, is prompting rapid legislative responses across the United States. AI refers to computer systems designed to perform tasks that typically require human intelligence, such as decision-making in claims processing or prior authorization. Prior authorization involves insurer approval for medical services before they are provided, while utilization review assesses the medical necessity of care. Several states are enacting new oversight measures to establish guardrails for AI use in these critical areas.

Indiana enacted House Bill 1271 on March 4, 2026. This law prohibits health insurers from using any automated process, including AI, as the sole basis for downcoding a claim based on medical necessity. A human employee or contractor must first review the covered individual’s medical record. Insurers must also disclose when AI aids in adverse prior authorization decisions or claim downcoding.

Following suit, Alabama enacted Senate Bill 63 on April 17, 2026. The new legislation sets standards for AI use in prior authorization processes and mandates periodic review of these AI tools.

In Pennsylvania, proposed House Bill 1925 and Senate Bill 1113 permit AI use in utilization review. However, these bills strictly prohibit AI algorithms from overriding the clinical judgment of healthcare providers. Determinations must rely on the patient’s clinical history, provider-identified circumstances, and medical record data.

These legislative actions underscore a clear trend: state lawmakers are prioritizing human oversight and transparency in AI applications within health insurance. The focus remains on preventing AI from becoming the sole arbiter of patient care decisions. Insurers utilizing AI for claims, prior authorization, or utilization review face new requirements for human review and disclosure. Patients can expect increased scrutiny of AI-driven denials, with explicit pathways for human intervention. As AI adoption expands, legislative efforts will likely continue to evolve, with more states expected to introduce or refine laws ensuring that technology supports, rather than replaces, human clinical judgment in healthcare.