Superalignment
The challenge of aligning AI systems that are significantly smarter than humans with human values and intentions.
Overview
Superalignment addresses the challenge of ensuring that AI systems more capable than humans remain aligned with human values and intentions. Traditional alignment techniques (RLHF, constitutional AI) rely on human evaluation, but if an AI system surpasses human capabilities, humans may not be able to evaluate its reasoning or detect subtle misalignment.
Approaches
Proposed approaches include: Scalable oversight: Using AI to help humans evaluate AI outputs. Weak-to-strong generalization: Training strong models using weaker models' evaluations. Interpretability: Understanding model internals to verify alignment. Formal verification: Mathematical proofs of alignment properties. OpenAI's Superalignment team and other labs actively research these problems, which many consider among the most important technical challenges in AI.