确保生成式人工智能医疗聊天机器人的安全。

Georgios Feretzakis, Athanasios Anastasiou, Stavros Pitoglou, Evgenia Paxinou, Aris Gkoulalas-Divanis, Konstantinos Kalodanis, Ioannis Tsapelas, Dimitris Kalles, Vassilios S Verykios
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引用次数: 0

摘要

在生成式人工智能(AI)领域,大型语言模型(LLM),如 GPT-4、Gemini、Claude 和 Llama,通过协助病人护理、医学研究和管理任务,对医疗保健产生了重大影响。人工智能驱动的聊天机器人可提供实时响应并管理慢性疾病,从而改善患者的治疗效果并提高运营效率。然而,这些模型带来了安全和伦理挑战,需要强大的数据隐私、对抗性训练和伦理准则。本文提出了一种用于部署人工智能医疗聊天机器人的安全、道德管道,整合了先进的隐私保护技术和持续的安全评估,以增强数据隐私、弹性和用户信任。
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Securing a Generative AI-Powered Healthcare Chatbot.

In Generative Artificial Intelligence (AI), Large Language Models (LLMs) like GPT-4, Gemini, Claude, and Llama, significantly impact healthcare by aiding in patient care, medical research, and administrative tasks. AI-powered chatbots offer real-time responses and manage chronic diseases, improving patient outcomes and operational efficiency. However, these models pose security and ethical challenges, necessitating robust data privacy, adversarial training, and ethical guidelines. This paper proposes a secure, ethical pipeline for deploying AI healthcare chatbots, integrating advanced privacy-preserving techniques and continuous security assessments to enhance data privacy, resilience, and user trust.

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