关键词: Chatbots Conversational agents Generative AI HIV prevention Large language models

Mesh : Humans HIV Infections / prevention & control Privacy

来  源:   DOI:10.1007/s11904-023-00681-x   PDF(Pubmed)

Abstract:
To explore the intersection of chatbots and HIV prevention and care. Current applications of chatbots in HIV services, the challenges faced, recent advancements, and future research directions are presented and discussed.
Chatbots facilitate sensitive discussions about HIV thereby promoting prevention and care strategies. Trustworthiness and accuracy of information were identified as primary factors influencing user engagement with chatbots. Additionally, the integration of AI-driven models that process and generate human-like text into chatbots poses both breakthroughs and challenges in terms of privacy, bias, resources, and ethical issues. Chatbots in HIV prevention and care show potential; however, significant work remains in addressing associated ethical and practical concerns. The integration of large language models into chatbots is a promising future direction for their effective deployment in HIV services. Encouraging future research, collaboration among stakeholders, and bold innovative thinking will be pivotal in harnessing the full potential of chatbot interventions.
摘要:
目的:探讨聊天机器人与艾滋病预防和护理的交集。聊天机器人目前在艾滋病服务中的应用,面临的挑战,最近的进步,并对未来的研究方向进行了展望。
结果:聊天机器人促进了关于艾滋病毒的敏感讨论,从而促进了预防和护理策略。信息的可信性和准确性被确定为影响用户与聊天机器人互动的主要因素。此外,人工智能驱动的模型将处理和生成类似人类的文本集成到聊天机器人中,在隐私方面既带来了突破,也带来了挑战,偏见,资源,和伦理问题。聊天机器人在艾滋病毒预防和护理方面显示出潜力;然而,在解决相关的道德和实际问题方面仍有重要的工作。将大型语言模型集成到聊天机器人中,是在HIV服务中有效部署的一个有希望的未来方向。鼓励未来的研究,利益相关者之间的合作,大胆的创新思维将是利用聊天机器人干预的全部潜力的关键。
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