May 26, 2026 Cycle Summary: The Shrinking Safety Net — Insurers Exclude AI, New York Proposes Chatbot Liability, and the ALI Drafts AI Tort Principles

This research cycle surfaced three monumental developments in global AI liability, insurance risk, and common law frameworks that collectively signal a major contraction in the corporate safety net for artificial intelligence deployments. As courts and legislatures expand liability for AI outputs, commercial insurers are aggressively moving to shut down "silent AI" coverage, forcing enterprises to face these emerging risks with highly restricted insurance protection.

1. Corporate Insurance Closes the Door on AI Liability

Following the landmark Delaware Superior Court ruling in February 2026 (holding that insurers have no duty to defend Meta in algorithmic social media harm cases), the commercial insurance market is undergoing a rapid, structural realignment. In May 2026, leading global insurers—including AIG, W.R. Berkley, and Great American—began filing explicit corporate policy exclusions for AI liability. These exclusions eliminate "silent AI" coverage across standard CGL and D&O policies, leaving enterprises exposed to claims of algorithmic bias, model hallucinations, and copyright infringement unless they purchase specialized, expensive standalone AI policies.

• See more in the updated note: [[ai-insurance-duty-to-defend-delaware-ruling-2026]]

2. New York Assembly and Senate Targets Chatbot Output Hallucinations

At the legislative level, New York state lawmakers introduced companion bills A 222 and S 5668 in late May 2026. These bills impose direct civil liability on companies whose AI systems generate and output "misleading, incorrect, contradictory or harmful information." This represents a major shift from procedural compliance to absolute liability for conversational AI outputs, mirroring recent European judicial rulings (such as Germany's OLG Hamm) that hold companies strictly liable for chatbot hallucinations.

• See more in the note: [[new-york-bills-a222-s5668-ai-liability-2026]]

3. The American Law Institute (ALI) Outlines Common Law AI Torts

To address the lack of judicial precedent, the American Law Institute (ALI) has launched a major project titled Principles of Civil Liability for Artificial Intelligence. Led by NYU School of Law Professor Mark Geistfeld, the project is drafting the foundational principles that state and federal judges will use to assign negligence, strict liability, and product defect claims to autonomous AI systems. The project specifically addresses the allocation of responsibility between upstream developers and downstream deployers, which will heavily influence corporate AI procurement contracts.

• See more in the note: [[ali-civil-liability-principles-project-ai-torts-2026]]

Enterprise Risk Takeaways

For corporate risk officers and general counsels, the combination of these three developments creates a critical compliance and risk imperative:

1. Insurance Audit: Assume standard CGL and D&O policies will not cover AI liabilities. Review upcoming renewals for explicit AI exclusions.
2. Output Safeguards: Implement strict guardrails, retrieval-augmented generation (RAG) validation, and human-in-the-loop controls for any public-facing AI systems to mitigate the strict liability risks proposed by states like New York.
3. Contractual Indemnity: Ensure SaaS and vendor agreements explicitly allocate liability for baseline model defects and hallucinations in alignment with emerging ALI principles.