Mapping U.S. Federal AI Governance Against Sector Vulnerability

Recent research maps U.S. federal AI governance documents against sector-specific vulnerabilities, finding varied coverage of artificial intelligence (AI) risks and sectors. The analysis of 684 federal documents reveals that certain AI risks, such as robustness, system security, and governance, receive greater attention, while socioeconomic and environmental risks are less covered. This suggests potential misalignment between existing governance frameworks and expert-identified vulnerabilities.

This analysis highlights potential gaps in existing governance frameworks, indicating that federal AI policy may not adequately address all areas of expert-identified vulnerability. Understanding these discrepancies is crucial for developing more comprehensive and effective strategies to mitigate risks and ensure responsible AI development across diverse sectors.

U.S. federal AI governance documents were assessed for their coverage of 14 sectors and 24 AI risks.

Forward consideration, not a verified fact.