Securing a Generative AI-Powered Healthcare Chatbot.

Journal: Studies in health technology and informatics
Published Date: Nov 22, 2024

Abstract

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.

Authors

  • Georgios Feretzakis
    School of Science and Technology, Hellenic Open University, Patras, Greece.
  • Athanasios Anastasiou
    Swansea University, UK.
  • Stavros Pitoglou
  • Evgenia Paxinou
    School of Science and Technology, Hellenic Open University, Patras, Greece.
  • Aris Gkoulalas-Divanis
    IBM Watson Health, Cambridge, Massachusetts, USA.
  • Konstantinos Kalodanis
    Harokopio University of Athens, Kallithea, Greece.
  • Ioannis Tsapelas
    School of Electrical and Computer Engineering, National Technical University of Athens.
  • Dimitris Kalles
    School of Science and Technology, Hellenic Open University, Patras, Greece.
  • Vassilios S Verykios
    School of Science and Technology, Hellenic Open University, Patras, Greece.

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