Analysis
AI defamation: from the model's account to the record
Starbuck v. Google tests the evidence behind generated statements, fabricated sources, and notice to the people responsible for AI outputs.
Read moreKey topic
Regulatory authority, institutional design, and the limits of voluntary controls.
Analysis
Starbuck v. Google tests the evidence behind generated statements, fabricated sources, and notice to the people responsible for AI outputs.
Read moreAnalysis
Private assurances and California's frontier-model law expose the difference between governance evidence reconstructed in litigation and records created before a dispute.
Read moreE.D.N.Y. (Judge Pamela K. Chen) · No. 1:22-cv-02565-PKC-PK
An age discrimination suit resolved by consent decree over tutor application software programmed to reject applicants above fixed ages. Widely described as the first AI hiring discrimination settlement, though the agency never called it that and the mechanism was a hard-coded rule rather than a learned model.
N.D. Cal. · No. 4:24-cv-04722-YGR
The court adopted an advisory limitations verdict without reaching the Phase I merits. It did not certify the ruling for immediate appeal, and Phase II claims remained under pending dismissal motions and mediation.
S.D.N.Y. · No. 1:25-cr-00503-JSR
A February 17, 2026 ruling that 31 documents a criminal defendant generated with a public AI assistant were protected by neither attorney-client privilege nor the work-product doctrine, because counsel had not directed the work and the service's privacy policy defeated the asserted confidentiality.
E.D. Mich. · No. 2:24-cv-12333-GAD-APP
A February 10, 2026 discovery order denying access to a civil plaintiff's third-party AI use, holding the material protected work product prepared in anticipation of litigation and that using ChatGPT did not itself waive the protection.
New York City · binding law
New York City's automated employment decision tool law. It requires an annual independent bias audit, publication of the audit summary, and advance candidate notice. The only official measurement of its enforcement records two complaints and no penalties.
California · binding law
California's Transparency in Frontier Artificial Intelligence Act creates tiered disclosure, framework, incident-reporting, and employee-protection duties for statutorily defined frontier developers.
European Union · binding law
The European Union's horizontal regulation of artificial intelligence, structured by risk tier: prohibited practices, high-risk systems carrying the heaviest duties, transparency obligations, and minimal-risk uses left to general law.
International · standard
The certifiable management-system standard for artificial intelligence. Clauses 4 through 10 form the auditable management system; the annexes supply reference controls and guidance that an organization selects from and justifies.
United States · framework
A voluntary United States framework organizing AI risk work into four functions: govern, map, measure, and manage. It creates no legal duty and is increasingly cited as a reasonableness benchmark in contracts and supervision.