What does the chapter suggest about the relationship between generative AI and academic integrity, particularly in the context of doctoral research?

The chapter presents generative AI as a useful but ethically delicate tool for doctoral research. It stresses that doctoral candidates must preserve original writing and maintain academic integrity, so AI should be used as a complement under clear institutional policies, ethical guidelines, mentor oversight, and plagiarism prevention rather than as a substitute for a student's own scholarly work.

The chapter argues that original writing is central to doctoral credibility and rigor, because it reflects understanding of concepts, identification of gaps, empirical research, and application of findings. At the same time, it acknowledges that generative AI tools can support doctoral work by improving efficiency, organization, editing, engagement, research fluency, and mentor collaboration. Yet integrating these tools creates new integrity challenges, including plagiarism and what is called post-plagiarism, especially when AI participates in the dissertation writing process. The chapter suggests that institutions and supervisors should respond not by banning AI outright but by combining policy development with education on privacy, ethics, and information literacy. Recommended safeguards include establishing ethical principles and guidelines, preventing plagiarism, using AI as a complementary rather than replacement tool, incorporating proctored in-person assessments, providing personalized feedback, and conducting continuous scrutiny that preserves the integrity of research and the student's own voice.