ARTIFICIAL INTELLIGENCE, ETHICS AND ACADEMIC INTEGRITY IN LINGUISTIC RESEARCH

Abstract

This paper discusses the evolving relationship between Artificial Intelligence (AI), ethics, and academic integrity in contemporary linguistic research. As AI-driven technologies increasingly influence data collection, corpus analysis, translation and discourse studies, they offer extraordinary opportunities for efficiency, accuracy, and interdisciplinary innovation. At the same time, the growing reliance on AI raises important ethical concerns regarding authorship, transparency, bias, data privacy, and the responsible use of automated tools in scholarly work. This study highlights that academic integrity remains a fundamental principle in linguistic research, requiring researchers to ensure originality, proper attribution, methodological transparency, and critical engagement with AI-generated outputs. Rather than replacing human expertise, AI should be understood as a complementary instrument that supports linguistic inquiry while preserving scholarly responsibility and ethical standards. The paper argues for the development of clear ethical guidelines and responsible research practices that balance technological advancement with the core values of academic scholarship.