Constitutional AI: Harmlessness from AI Feedback

The paper discusses the concept of Constitutional AI (CAI), a two-stage approach to train AI systems to be harmless without heavy reliance on human oversight. The first stage involves supervised learning based on constitutional principles to critique and revise AI responses. The second stage incorporates reinforcement learning using AI-generated feedback to identify less harmful outputs.

Engineers and specialists can benefit from this research by understanding the innovative approach of using constitutional principles to guide AI behavior and self-correct harmful outputs. The study shows that CAI models outperformed traditional methods in terms of harmlessness while maintaining comparable levels of helpfulness, indicating a promising direction for developing more ethical and trustworthy AI systems.

Read full paper: https://arxiv.org/abs/2212.08073

Tags: AI Safety, Machine Learning, Artificial Intelligence