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Reframing Research Ethics in the Age of Generative Artificial Intelligence: Key Issues and Practical Proposals

  • Korean Journal of Medical Ethics
  • Abbr : 의료윤리
  • 2025, 28(4), pp.279~292
  • DOI : 10.35301/ksme.2025.28.4.279
  • Publisher : The Korean Society For Medical Ethics
  • Research Area : Medicine and Pharmacy > General Medicine
  • Received : August 10, 2025
  • Accepted : October 23, 2025
  • Published : December 31, 2025

Moon-jeong Kim ORD ID 1,  Do-kyong Kim ORD ID 1

1동아대학교

Accredited

ABSTRACT

This article explores how the traditional framework of research ethics must be redefined in responseto the ethical challenges posed by the academic use of generative artificial intelligence (Gen AI). As Gen AI technologies become increasingly integrated across various stages of research—fromstudy design and data analysis to manuscript writing—they offer notable gains in efficiency, whilesimultaneously expanding ethical gray areas. In particular, issues such as factual inaccuracies andhallucinations, violations of privacy and copyright, ambiguous authorship, and the deskilling ofresearchers are becoming increasingly entangled, posing serious threats to the credibility andintegrity of academic work. To address these concerns, the article proposes four core ethicalprinciples suited to the Gen AI era: truthfulness and explainability, respect for intellectual property,field-specific guidelines, and the cultivation of researcher competence. The central concern is notmerely whether such technologies should be adopted, but rather how the identity and responsibilityof researchers, and the sustainability of scholarly communities, can be ethically restructured in theface of transformative technological change.

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This paper was written with support from the National Research Foundation of Korea.
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