Safe AI

Systems engineered and managed to minimize and prevent unintended physical, social, or economic harm throughout design, deployment, operation, and retirement. Emphasis is placed on lifecycle risk assessment, mitigation measures, and ongoing monitoring to ensure continued safety.

AI systems designed and operated to minimize risks to people, property, and critical infrastructure throughout their lifecycle, incorporating risk assessments, robustness measures, fail-safes, and mitigation strategies to prevent harm.

AI systems developed and deployed with mechanisms to identify, understand, and mitigate potential risks and harms to individuals, society, and the environment.

'Safe AI' implies the development and deployment of AI systems that minimize unintended harm, risks to security, and potential for misuse. This includes addressing issues such as system robustness, reliability, and resilience against malicious attacks.