Abstract: The emergence of generative artificial intelligence (GenAI) has brought about a transformative reshaping of the academic ecosystem. It has significantly improved the efficiency of scholarly production and publication, broadened the horizons of research, and freed scholars from repetitive labor. At the same time, however, it has introduced new ethical challenges to academia. From both technological and epistemological perspectives, GenAI has led to value distortions and a growing homogenization of scientific research. The roots of these ethical issues lie primarily in the underlying logic of GenAI algorithms and the inherent characteristics of their human users—factors that markedly distinguish AI-assisted scholarship from traditional academic inquiry. Addressing these challenges requires upholding human subjectivity while expediting the formulation and refinement of relevant regulatory frameworks. It also calls for collective efforts among academic institutions to build shared digital platforms that foster responsible and sustainable academic development in the age of GenAI.