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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.
Companies deploying AI can significantly shape societal resilience, and this paper provides a new framework to measure their impact on this critical issue.
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.