The growth of Artificial Intelligence (AI) has created new problems for academic institutions in terms of their ethical standards associated with integrity, authorship, and honesty. The advent of generative AI tools like ChatGPT raises significant ethical dilemmas because they can produce text that appears indistinguishable from what a person would write, as well as perform many of the functions traditionally performed by researchers to solve complicated problems and produce research outputs. In this article, we use multiple recent empirical studies, routine reviews of institutional policy, and theoretical frameworks to explore the ethical issues related to the use of AI in higher education. Among the topics discussed are how the definition and understanding of academic integrity have changed because of the emergence of AI; the types and extent of AI-related misconduct; how the concepts of authorship and attribution apply to AI; how AI can help detect plagiarism; the impact of algorithmic bias from AI-based assessment; and the cognitive consequences of using AI tools for individuals. The authors suggest that institutions should adopt a strategy centered on humans and pedagogy in their implementation of AI within higher education, neither banning the use of AI nor endorsing its use without appropriate safeguards.