Personalized open world plan generation for safety-critical human centered autonomous systems: A case study on Artificial Pancreas (2025.findings-emnlp)
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| Challenge: | Design-time safety guarantees for human-centered autonomous systems often break down in open-world deployment due to uncertain human interaction. |
| Approach: | They propose an LLM-based architecture that automatically generates personalized safety plans . by itself, the LLM fares poorly at producing safe usage plans, but coupling it with a safety verifier enables the discovery of safe plans. |
| Outcome: | The proposed architecture generates personalized safety plans that are safe for open-world use . the proposed architecture fares poorly at producing safe usage plans . |
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