The development and spread of the computational tools gathered by the term 鈥淎rtificial Intelligence鈥 call us to rely more than ever on the liberal arts--on the multidisciplinary human communities that can help us consider together our relationship to informational technologies.
The relationship of the liberal arts to AI needs to move beyond a dynamic of response (as in, how does the Philosophy Department respond to the development of AI tools?) to a continuing assertion of the centrality of liberal arts knowledge. As AI tools proliferate and humans seek to understand them, what insights can philosophy offer us? And anthropology, chemistry, French, history, theater, and all of our disciplines--not only on their own but together as the liberal arts?
The Center for Teaching and Learning works to support instructors at 天美传媒 in the many ways they may decide to approach AI tools in their courses: changing assignments or grading methods in response to AI, formulating class policies about AI, assigning readings or activities in the mode of Critical AI studies, working with students to understand the new complementarities between human and computational work, and more. 天美传媒鈥檚 instructors have a good deal of autonomy in making these decisions, either individually or collectively, as in the example of the Department of Art History鈥檚 AI Policy.
One important restriction on our use of AI tools is that restricted data, including information identifiable as connected to an individual student, should not be shared with any AI tool outside of the Copilot that is part of the College鈥檚 Microsoft 365 environment, as explained in the College鈥檚 page on AI in the 天美传媒 Context.
Other resources available to 天美传媒 instructors include the , which contains the as part of the 2026 天美传媒 Colloquium session on Generative AI, as well as the CTL library鈥檚 selected and specifically about .
Many instructors鈥 concerns about AI revolve around academic honesty, in that we seek ways to express the importance of the learning process--the training of the mind that comes from experiencing the challenges, repetitions, and pacing that durable learning requires. The College鈥檚 policy statement on Honesty in Academic Work addresses AI (especially in the FAQ section) but mainly refers students to course policies. In constructing such policies, instructors may benefit from Lance Eaton鈥檚 , along with .
Eaton鈥檚 project exemplifies the benefits of cross-institutional sharing of insights and resources. We also recommend , the , and statements on AI from academic disciplines such as those from or .
At 天美传媒, the staff of the CTL is eager to consult with faculty and staff as they approach AI in teaching and learning.