Illinois lawmakers pass landmark AI accountability bill
Illinois lawmakers unanimously passed Senate Bill 315, a landmark AI accountability measure targeting high-capacity AI models, requiring transparency frameworks and third-party audits, with support from OpenAI and Anthropic. The bill now awaits gubernatorial approval and aims to establish enforceable safety standards amid concerns from industry stakeholders like TechNet over subjective compliance requirements.
Illinois became the third U.S. state to enact comprehensive AI regulation after lawmakers passed Senate Bill 315 unanimously in the House on May 28, 2026, following similar laws in New York and California. The bill targets advanced AI models developed by companies with $500 million in revenue, mandating transparency frameworks that outline industry standards, model capabilities, and risk assessments. Developers must also submit to third-party audits to ensure compliance, a provision supported by OpenAI and Anthropic but criticized by TechNet for lacking national regulatory alignment. House sponsor Rep. Daniel Didech emphasized the bill’s focus on mitigating catastrophic risks while fostering responsible innovation, comparing AI’s potential to transform lives if deployed ethically. Senate sponsor Sen. Mary Edly-Allen framed the legislation as a necessary balance, warning against repeating past regulatory failures like those seen with social media. The bill passed the Senate 52-5 on May 21, with amendments addressing concerns from Republicans, Secure AI, and state agencies, including clarifying audit qualifications and extending the effective date to 2028. Third-party audits remain contentious, with TechNet arguing for clearer regulatory guardrails, while Secure AI and lawmakers cited existing audit firms and accounting capabilities to justify the requirement. OpenAI and Anthropic praised the bill, with Anthropic’s Cesar Fernandez calling it a ‘new standard’ for AI safety. The measure now awaits Governor J.B. Pritzker’s consideration, positioning Illinois as a leader in proactive AI governance. Critics highlight the bill’s reliance on subjective safety determinations without federal standards, though proponents argue its thresholds and audit framework provide enforceable accountability. Amendments also clarified proprietary data protections and excluded private litigation pathways, addressing industry and agency feedback. The legislation reflects growing state-level efforts to address AI risks in the absence of federal action.
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