Ethical Implications of ChatGPT in Higher Education: A Scoping Review
It addresses ethical problems for educators and policymakers in higher education, but it is incremental as it reviews existing literature without proposing new solutions.
This scoping review tackled the ethical challenges of using ChatGPT in higher education by analyzing academic articles in multiple languages, finding that issues primarily involve academic integrity, assessment, and data protection, with most papers being discussion-based and some early empirical work.
This scoping review explores the ethical challenges of using ChatGPT in higher education. By reviewing recent academic articles in English, Chinese, and Japanese, we aimed to provide a deep dive review and identify gaps in the literature. Drawing on Arksey and O'Malley's (2005) scoping review framework, we defined search terms and identified relevant publications from four databases in the three target languages. The research results showed that the majority of the papers were discussion papers, but there was some early empirical work. The ethical issues highlighted in these works mainly concern academic integrity, assessment issues, and data protection. Given the rapid deployment of generative artificial intelligence, it is imperative for educators to conduct more empirical studies to develop sound ethical policies for its use.