Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains
The paper discusses the need for improved guardrails for foundation models used in socially sensitive areas like education and mental health. It introduces a framework called Grounded Observer, which focuses on runtime behavioral control to ensure safer interactions. The authors propose research directions for enhancing these guardrails to provide stronger guarantees in various applications.
- ▪Foundation models are increasingly used in sensitive domains where failures can have serious consequences.
- ▪The Grounded Observer framework allows for runtime interventions to prevent undesirable interactions.
- ▪The authors suggest extending this framework to improve safety guarantees in diverse social contexts.
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Computer Science > Artificial Intelligence arXiv:2605.19940 (cs) [Submitted on 19 May 2026] Title:Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains Authors:Rebecca Ramnauth, Drazen Brscic, Brian Scassellati View a PDF of the paper titled Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains, by Rebecca Ramnauth and 2 other authors View PDF HTML (experimental) Abstract:Foundation models are increasingly deployed in socially sensitive domains such as education, mental health, and caregiving, where failures are often cumulative and context-dependent.
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