Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education

Russell Franco D’Souza, Mary Mathew, Vedprakash Mishra, Krishna Mohan Surapaneni

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

Artificial Intelligence (AI) holds immense potential for revolutionizing medical education and healthcare. Despite its proven benefits, the full integration of AI faces hurdles, with ethical concerns standing out as a key obstacle. Thus, educators should be equipped to address the ethical issues that arise and ensure the seamless integration and sustainability of AI-based interventions. This article presents twelve essential tips for addressing the major ethical concerns in the use of AI in medical education. These include emphasizing transparency, addressing bias, validating content, prioritizing data protection, obtaining informed consent, fostering collaboration, training educators, empowering students, regularly monitoring, establishing accountability, adhering to standard guidelines, and forming an ethics committee to address the issues that arise in the implementation of AI. By adhering to these tips, medical educators and other stakeholders can foster a responsible and ethical integration of AI in medical education, ensuring its long-term success and positive impact.

Original languageEnglish
Article number2330250
JournalMedical Education Online
Volume29
Issue number1
DOIs
Publication statusPublished - 2024

All Science Journal Classification (ASJC) codes

  • Education

Fingerprint

Dive into the research topics of 'Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education'. Together they form a unique fingerprint.

Cite this