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arXiv · 2409.04508

Toward LLM-Powered Social Robots for Supporting Sensitive Disclosures of Stigmatized Health Conditions

Alemitu Bezabih·Shadi Nourriz·C. Estelle Smith
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Abstract

Disclosing sensitive health conditions offers significant benefits at both individual and societal levels. However, patients often face challenges due to concerns about stigma. The use of social robots and chatbots to support sensitive disclosures is gaining traction, especially with the emergence of LLM models. Yet, numerous technical, ethical, privacy, safety, efficacy, and reporting concerns must be carefully addressed in this context. In this position paper, we focus on the example of HIV status disclosure, examining key opportunities, technical considerations, and risks associated with LLM-backed social robotics.

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Alemitu Bezabih, Shadi Nourriz, C. Estelle Smith. 2024-09-06. Toward LLM-Powered Social Robots for Supporting Sensitive Disclosures of Stigmatized Health Conditions. https://arxiv.org/abs/2409.04508

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