Ethical Frameworks of Artificial Intelligence for Faculty: Upholding Academic Integrity and Authenticity

ABSTRACT This article examines the ethical implications of utilizing generative AI (GenAI) tools in adult higher education. It clarifies how traditional AI applications, such as plagiarism detection and adaptive quizzes, differ from generative systems that create new content. Core tensions include protecting student data, mitigating algorithmic bias, preserving academic integrity and authenticity, and ensuring fair access for all learners. The authors explore the risks of over‐reliance on AI, alongside strategies for responsible integration, including clear usage policies, transparency, and addressing bias and privacy issues. The article presents practical ethical frameworks to help faculty uphold professional standards, foster a culture of integrity, and guide students in developing critical AI literacy through critical reflection, co‐created guidelines, and hands‐on decision‐making exercises.