AI Alignment

Agent Collapse refers to a failure in AI systems where agents cease to function effectively, often due to alignment issues.

Aligned AI refers to artificial intelligence systems designed to align with human values and goals.

Alignment Tax refers to the additional costs incurred to ensure AI systems align with human values and ethics.

Anthropic Uncertainty refers to the uncertainty about human preferences and values in AI system design.

Deliberative Alignment ensures AI systems reflect human values through collaborative decision-making processes.

Goal misgeneralization occurs when AI systems pursue unintended objectives due to misinterpretations of their goals.

The Helpfulness-Harmlessness Tradeoff is a balance between AI providing useful assistance and the risks of causing harm.

An intelligence explosion refers to a rapid increase in artificial intelligence capabilities, often leading to superintelligence.

Inverse Reward Design is a technique in reinforcement learning aimed at preventing unintended behaviors in AI systems.

Model alignment ensures AI systems operate in ways consistent with human values and intentions.

Superalignment refers to advanced AI systems that are perfectly aligned with human values and intentions.