A field guide to artificial intelligence's edge cases — the fines, court rulings, deepfake prosecutions, biased algorithms and viral failures that show what happens when AI meets the real world. Every entry links to a primary source.
Every case carries a named authority, a date and a link to the order, docket or report — so you can cite the source, not the rumour. Filter by country or theme to find local angles fast.
A structured, evidence-tiered dataset spanning regulators, courts and documented incidents across dozens of jurisdictions. Download the full JSON and cite the proof ceiling, not the hype.
The chatbot that sold a car for $1, the recruiting AI that learned to reject women, the deepfake robocall that faced a $6M fine. Real stories, plainly told, with the receipts.
Obscure AI is the public face of the LIMEN edge-case atlas — an attempt to catalogue where AI systems have actually gone wrong, and to do it honestly. Every entry is graded by how strong the public evidence is. We never present an allegation as a finding.
A regulator decision, court ruling, settlement or official report exists. The strongest tier.
Real, but the matter is at the charging, investigation, interim or under-appeal stage — not a final finding.
A documented vulnerability in an AI/agent system, anchored to a public CVE record.
A widely-documented incident reported by reputable outlets — fascinating and real, but not a regulator/court finding.
Spotted an error or a missing case? The dataset is open — download it, check the source links, and tell us what to fix.