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
How courts assign responsibility when automated systems cause or compound harm.
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 moreAnalysis
Three federal rulings show why AI-related protection disputes turn on governing doctrine, procedural posture, counsel direction, and the material actually claimed.
Read moreN.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.
N.D. Cal. · Nos. 3:26-cv-03701 through 3:26-cv-03707
Seven related suits by families of the Tumbler Ridge mass-shooting victims allege that OpenAI's systems flagged the shooter's gun-violence planning, that safety staff urged notifying the RCMP, and that leadership instead deactivated an account the shooter re-registered within minutes. The complaints plead negligence, design defect, failure to warn, UCL violations, wrongful death, and survival claims. All allegations are pleaded, not found.
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.