For Heads-of · Practitioner
AI Safety
The field of research and practice focused on ensuring AI systems behave as intended, avoid unintended harms, and remain aligned with human values.
- AI safety
- alignment
- safety engineering
- risk mitigation
Scope
Includes technical safety (preventing unsafe behaviors through training and design), governance safety (policies and oversight), and alignment (ensuring systems pursue intended goals).
Key Areas
Robustness to adversarial attacks, interpretability and transparency, value alignment, specification gaming (systems finding loopholes in their objectives), and scalable oversight.
Governance Context
AI safety is increasingly recognized as essential for responsible AI deployment. Organizations must invest in safety research and practices proportional to the stakes of their AI systems.