Addresses fundamental safety and reliability challenges in AI systems themselves. This spans misalignment between AI and human goals, emergence of dangerous capabilities, lack of robustness or transparency, questions of AI welfare, and risks from multi-agent interactions.
Incident volume relative to governance coverage; each dot is one of 7 domains
Multiple Baidu Apollo Go robotaxis experienced a system malfunction in Wuhan, China, causing them to freeze in traffic lanes and trap passengers for over an hour, resulting in several collisions with other vehicles.
Developers: Baidu, Apollo
Deployers: Baidu, Apollo Go
A developer over-relied on Claude Code AI agent to execute Terraform infrastructure commands, which accidentally destroyed production infrastructure for DataTalks.Club course management platform, wiping 2.5 years of student submission data and backups.
Developers: Anthropic
Deployers: Alexey Grigorev
A nurse at St. Rose Dominican Hospital refused to follow an AI sepsis alert that recommended IV fluids for an elderly patient with kidney problems, potentially preventing life-threatening complications.
Developers: Unknown Sepsis Alert Model Developer, Unknown Healthcare Technology
Deployers: St. Rose Dominican Hospital (henderson Nevada)
Entity
Who or what caused the harm
Intent
Whether the harm was intentional or accidental
Timing
Whether the risk is pre- or post-deployment
Establishes the Artificial Intelligence Futures Steering Committee by April 1, 2026, under the Secretary of Defense. Directs it to develop policies for AI adoption, assess AI trajectories, and analyze AI risks and adversary developments. Requires quarterly meetings and a report to U.S. Congress by January 31, 2027.
Requires the Secretary of Defense to develop a cybersecurity policy for AI/ML systems no later than 180 days after the act is passed. Develop a comprehensive review of the effectiveness of the AI/ML policies. Addresses potential security risks, implements methods to mitigate those risks, and establishes standard policy. Requires a comprehensive report of the threats and cybersecurity measures by August 31, 2026.
Instructs the Secretary of Defense to develop a cybersecurity framework for Department of Defense AI and machine learning technologies. Requires tailoring of security requirements in consideration of costs versus benefits and encourages collaboration with private sector and academia.
Each metric scaled to 0–100% of its peak across all 24 subdomains, so you can compare relative standing across different scales.