Experiences of Academics, Graduates, and Undergraduates in Using Generative AI in Research (Un)ethically and (Ir)responsibly: A Title Registration of Systematic Review of Qualitative Synthesis

This systematic review examines the experiences and perceptions of ethics and integrity among undergraduate and graduate students, alongside academics and faculty, in the use of artificial intelligence (AI) for research within higher education institutions globally. By synthesising qualitative data from a range of studies, this review seeks to uncover how these key groups confront and manage ethical challenges and integrity concerns that arise with the application of AI technologies in academic research. The study focuses on issues such as data privacy, the potential for bias, and the impact of AI on the quality and integrity of scholarly work. Through this exploration, the review aims to illuminate the varied experiences and opinions within the academic community, and suggests pathways for forming robust guidelines and policies to enhance ethical practices in AI-driven research.