The research field focused on ensuring AI systems act in accordance with human intentions, values, and ethical principles, especially as systems become more ...
Making sure the AI does what we actually want and doesn't do anything bad — like teaching a pet to follow the rules.
The effort to make sure AI systems behave the way humans intend, following our values and goals instead of doing something unexpected or harmful.
The research field focused on ensuring AI systems act in accordance with human intentions, values, and ethical principles, especially as systems become more capable.
The technical and philosophical challenge of specifying, encoding, and verifying that an AI system's objectives and behaviors remain consistent with human values and intentions across diverse contexts.
The superalignment problem: ensuring that arbitrarily capable optimization processes remain corrigible and value-aligned — encompassing inner alignment (mesa-optimizer objectives match training objectives) and outer alignment (training objectives capture human intent).
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