Policy & Governance Resources
A curated library of frameworks, regulatory documents, case studies, and academic work the author endorses as worthwhile reading for readers of the paper.
Germany: Court Rules Chatbot Operators Liable for AI Hallucinations
A German court (OLG Hamm, May 2026) held a company liable for its own AI chatbot’s misleading answers — the chatbot is corporate communication, like an employee’s statement. Accountability for AI output flows to the deploying organization.
Topic · Legal & Liability
Germany: Court Holds Google Liable for Incorrect AI Overviews
A German court (Munich, May 2026) held Google directly liable for false statements in its AI Overviews — the AI summary is content attributable to the company. A fresh marker that organizations own their AI’s output.
Topic · Legal & Liability
AI in Litigation: Gen-AI Sanctions Update (2026)
A 2026 update on U.S. court sanctions for AI-hallucinated filings — courts uniformly reject “the AI did it”; the responsible attorney owns every citation regardless of the tool. The accountability principle enforced through 2026.
Topic · Legal & Liability
AI Hallucinations in Court Filings: A 2025 Review of Sanctions
A 2025 survey of court sanctions for AI-fabricated citations, documenting how repeatedly judges reject the “the AI made the mistake” defense — the accountability principle enforced in practice.
Topic · Legal & Liability
OpenAI — Hugging Face Model-Evaluation Security Incident
OpenAI’s disclosure of a security incident in a Hugging Face model-evaluation workflow — a concrete case of risk inside the AI evaluation pipeline itself, reinforcing why higher-trust tiers require stronger verification and tighter harnessing.
Topic · Governance, Risk & Compliance
Moffatt v. Air Canada (2024)
A tribunal held the company liable for its chatbot’s inaccurate information — establishing that organizations own what their AI tells customers.
Topic · Legal & Liability
Mata v. Avianca (S.D.N.Y. 2023)
The landmark sanctions case where attorneys filed ChatGPT-fabricated citations — the canonical cautionary tale on unverified generative output in professional work.
Topic · Legal & Liability
In re Knight Capital — SEC Enforcement Order (2013)
The $440M automated-trading failure — a deployment and rollback gone wrong. The SEC order is the primary account of how an untested change cascaded in minutes.
Topic · Financial Services
EEOC v. iTutorGroup (2023)
The EEOC’s first AI hiring-discrimination settlement — automated screening that rejected applicants by age. A marker for algorithmic-bias liability in employment.
Topic · Employment
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