Simon Mylius

This analysis finds substantial variation in coverage: AI risks related to robustness, system security, and governance receive more attention than socioeconomic, environmental, and emerging risks, including multi-agent risks.

Public AI incident databases are misleading: this framework disentangles reporting biases from actual harm trends, enabling more informed AI governance.

Current AI incident databases can't quantify real-world risk because they lack data on how often risky systems are deployed and how frequently incidents are reported, leaving us flying blind on AI safety.