Ethically Integrating AI Into Your Courses

This article from the University of Chicago summarizes the ethical challenges posed by the use of generative AI and offers six practical solutions for both prevention and adaptation.

This article considers both the challenges and rewards for the use of AI in the classroom and offers suggestions for the development of policies around ethical use of AI.

This website offers a well-organized and ethical framework for AI in education that includes outcomes, criteria, and checklist.

This editorial from the International Journal for Educational Integrity offers a snapshot of the challenges and considerations for using AI in the classroom from the European Network for Academic Integrity (ENAI).

This article tries to create a consensus of ethical use of AI in education (AIED) and proposes seven principles that include governance, transparency, sustainability, privacy, security, inclusiveness, and human-centered AIED which can be used as a foundation for conversations about AI with students.