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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Record
| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.19940 |
| Publication time | Wed, 20 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-20T04:04:59.484Z |
| Last seen | 2026-05-20T04:04:59.484Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 9G3NxlGpAwHS |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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