arXiv Open Access 2024

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

Alemitu Bezabih Shadi Nourriz C. Estelle Smith

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

cs.HC

Penulis (3)

Alemitu Bezabih

Shadi Nourriz

C. Estelle Smith

Format Sitasi

APA MLA BibTeX

Bezabih, A., Nourriz, S., Smith, C.E. (2024). Toward LLM-Powered Social Robots for Supporting Sensitive Disclosures of Stigmatized Health Conditions. https://arxiv.org/abs/2409.04508

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓