AI Safety
Preventing harmful or unintended consequences of AI systems.
Overview
AI Safety is a broad topic encompassing technical, policy, and ethical work to ensure AI systems do not produce harmful outcomes. This can include alignment strategies (see: AI Alignment), robust training methods that avoid failure modes, and policy frameworks to govern AI deployment responsibly.
Broader Than Alignment
"AI Safety" sometimes overlaps with AI Alignment, but the focus also includes reliability, error tolerance, and risk mitigation in real-world scenarios.
Why It's Discussed
Concern about autonomous systems or advanced AI capable of large-scale impacts—for example in finance, military, or healthcare—has brought AI safety to the forefront of public and regulatory discourse.