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A Medical Ethics Framework for Conversational Artificial Intelligence.

Eleonore Fournier-Tombs1, Juliette McHardy2

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Conversational artificial intelligence (AI) chatbots offer realistic medical advice, but their use raises ethical concerns. This study analyzes AI chatbot risks in medicine and proposes a framework for safe development.

Keywords:
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Area of Science:

  • Medical Ethics
  • Artificial Intelligence
  • Digital Health

Background:

  • The COVID-19 pandemic accelerated the adoption of AI-powered conversational chatbots in healthcare.
  • Advanced AI models like GPT-3 and GPT-4 enable more nuanced and realistic patient-AI interactions.
  • These chatbots are increasingly used for medical guidance, personalized advice, and even prescriptions.

Purpose of the Study:

  • To ethically analyze the integration of conversational AI chatbots in medical applications.
  • To identify and categorize the risks associated with using AI chatbots in healthcare.
  • To propose a framework for understanding the impact of AI chatbots on patients and the medical field.

Main Methods:

  • Ethical analysis of conversational AI chatbot use in medicine.
  • Mapping identified risks to established principles of medical ethics.
  • Development of a framework for evaluating AI chatbot impact.

Main Results:

  • Conversational AI chatbots present multifaceted risks when applied to medical contexts.
  • The integration of AI blurs the lines between AI and human medical professionals.
  • Existing medical ethics principles require careful consideration in the context of AI healthcare.

Conclusions:

  • A structured ethical framework is necessary to guide the safe and appropriate development of AI chatbots in medicine.
  • Understanding the ethical implications is crucial for protecting patients and the integrity of the medical field.
  • Future AI chatbot development should prioritize patient safety and ethical considerations.