AI-written critiques help humans notice flaws

1. 1Train critique-writing models to describe flaws in summaries
2. 2Use human evaluators to assess summaries with and without AI-written critiques
3. 3Compare the effectiveness of larger models in self-critiquing versus summary-writing

Data scientists and AI engineers on a team can benefit from this approach to improve the accuracy of their models, and product managers can leverage this to enhance the overall quality of AI-generated content

💡 Larger AI models are better at self-critiquing, which can improve the supervision of AI systems

🚀 AI-written critiques boost human evaluation accuracy