생성형 인공지능 시대의 연구윤리 재정립: 주요 쟁점과 실천적제언

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.