The postsecondary sector’s ethical concerns with AI should encompass more than student cheating, argues Jeffrey C Dixon (College of the Holy Cross). Dixon highlights the inconsistency of institutions penalizing students for “stealing” from AI models while signing on vendors that have trained their AI on copyrighted content, as well as issues with data privacy and wellness. He encourages institutions to consider solutions like clearly displayed vendor agreements for users and making changes to academic integrity policies. While there are actions institutions can take to improve student practices with the use of AI, Dixon concludes by asserting that institutions “cannot skirt their own responsibilities” with ethical engagement with AI.
