OpenAI has published research on creating more interpretable teaching strategies for AI models. By training student and teacher networks iteratively, they found that the teacher network can learn to select or generate examples that are not only effective for teaching but also understandable to humans. This approach was evaluated by comparing the AI's strategies to intuitive human strategies and through human experiments, demonstrating its potential for teaching various complex concepts. AI
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RANK_REASON Academic paper detailing a new method for AI interpretability in teaching scenarios.
