Beyond the Benefits: Ethical Considerations for AI in L2 Doctoral Writing and the Role of Higher Education

Abstract

This paper examines the multifaceted ethical challenges arising from the integration of generative AI in academic writing, with a specific focus on the second language (L2) PhD students. While AI tools offer benefits like personalized feedback and content generation, they also raise concerns about privacy risks (stemming from data collection and potential misuse), plagiarism issues (particularly unintentional plagiarism among L2 writers), and algorithmic bias (potentially impairing critical thinking and perpetuating societal inequities). The study emphasizes the need for a holistic approach to cultivating AI ethical awareness within higher education, encompassing students, faculty, and institutions. This includes the development of practical strategies for L2 writers-navigating linguistic and cultural nuances, preserving original voice, preventing unintentional plagiarism through diligent verification, and fostering critical AI literacy. Ultimately, the paper advocates for the establishment of clear ethical guidelines, proactive institutional policies promoting responsible AI integration, and supportive learning environments. These measures are crucial for upholding academic integrity, fostering ethical scholarship, and ensuring the quality and originality of L2 doctoral students’ research in the age of AI.

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