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Decoding medical educators' perceptions on generative artificial intelligence in medical education.

Jorge Cervantes1, Blake Smith2, Tanya Ramadoss1

  • 1Dr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.

Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research
|May 24, 2024
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Summary
This summary is machine-generated.

Medical educators perceive Generative AI (GenAI) positively, anticipating its impact on teaching and learning. Key concerns include academic integrity and misinformation, necessitating clear guidelines for ethical integration.

Keywords:
GPTGenerative artificial intelligencemedical education

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Area of Science:

  • Medical Education
  • Artificial Intelligence
  • Educational Technology

Background:

  • Generative AI (GenAI) is a transformative technology with significant implications for medical education.
  • Understanding faculty and learner perceptions of GenAI is crucial for its effective integration.

Purpose of the Study:

  • To assess medical educators' perceptions of Generative AI (GenAI).
  • To identify the perceived advantages and concerns associated with GenAI in medical education.
  • To explore the potential impact of GenAI on teaching and learning.

Main Methods:

  • A survey was distributed to medical education faculty in Fall 2023.
  • The survey included 12 items covering GenAI's role, advantages, concerns, and trustworthiness.
  • Responses were collected from 48 faculty members.

Main Results:

  • Faculty generally hold a positive attitude towards GenAI and its educational impact.
  • Common GenAI uses include text generation, task automation, and multimedia creation.
  • Major concerns involve academic dishonesty, misinformation, lack of context, and reduced human interaction.
  • Faculty acknowledge the need for GenAI guidelines and recognize its potential to alter their roles.

Conclusions:

  • Medical educators recognize GenAI's potential but highlight significant concerns regarding its use.
  • Addressing plagiarism, misinformation, and privacy is essential for responsible GenAI implementation.
  • Developing institutional and national guidelines is critical for ethical and transparent GenAI integration in medical education.
  • Faculty anticipate GenAI will positively influence student learning, emphasizing the need for careful integration strategies.