This workshop addresses the ethical challenges and responsibilities surrounding student use of AI in education and professional preparation. The authors introduce a decision-making checklist and facilitate participant discussion around realistic student AI use scenarios that highlight concerns such as bias, authorship, dependence, and data privacy. The session also explores how institutional integrity frameworks can align with professional accountability standards, emphasizing the broader societal implications of academic misconduct. A model of personal and organizational integrity is shared to help guide ethical decision-making. Participants will leave with practical tools and insights for supporting ethical AI use in their institutions. NOTE: The description was generated from the submitted abstract.