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Tuesday, April 14, 2026
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Anthropic and OpenAI Clash Over AI Liability Bill in Illinois

Leading AI companies disagree on proposed legislation that could limit liability for AI-related damages.
Tech & AI · April 14, 2026 · 3 hours ago · 2 min read · AI Summary · WIRED, Reuters, The Verge
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The story is well-supported by multiple high-tier sources, with most claims confirmed or likely. The recency of the sources adds to the credibility.

Anthropic and OpenAI, two of the most prominent AI research companies, are at odds over a proposed Illinois bill that would significantly limit liability for AI-related damages, including mass deaths and financial disasters. The bill, which has garnered support from OpenAI, is being opposed by Anthropic, sparking a rare public disagreement between the two tech giants.

The proposed legislation, known as the Extreme AI Liability Bill, aims to provide legal protections for AI developers, shielding them from certain lawsuits related to AI malfunctions or unintended consequences. Proponents argue that such protections are necessary to foster innovation in the rapidly evolving AI sector. However, critics, including Anthropic, contend that the bill goes too far in absolving companies of responsibility, potentially leaving victims without recourse.

According to sources familiar with the matter, OpenAI has been actively lobbying for the bill, arguing that excessive liability could stifle advancements in AI technology. “We need a balanced approach that encourages innovation while ensuring accountability,” said a spokesperson for OpenAI. On the other hand, Anthropic has raised concerns that the bill could lead to reckless development practices, with one analyst noting, “Without proper safeguards, this could set a dangerous precedent.”

The debate highlights the growing tension between innovation and regulation in the AI industry. As AI systems become more powerful and integrated into critical sectors, the question of liability is becoming increasingly urgent. The outcome of this legislative battle could have far-reaching implications for the future of AI development and governance.

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