AI is impacting our industries and classrooms in a variety of ways. In order for our students to be professional leaders and change agents, it's valuable to seek ways to engage and strengthen their AI and digital literacy skills. As we know, much thought and consideration goes into bringing new technology, tools, and practices into our courses. The following resources have been created to assist you with navigating if/where/how you might introduce AI. Responsible and ethical usage must be kept at the core of all decisions while considering our own comfort level with emerging technology.

Drafting your own course-specific AI policy can be daunting. However, this becomes a much more manageable task when decisions are informed by careful reflection. You are encouraged to refer to the following resources as you contemplate whether AI is suitable for your course.

Who do faculty members turn to with questions regarding academic integrity?

• LA Campus: Susana Soto, Associate Dean of Students | susana.soto@nyfa.edu

• NY Campus: Joshua Bell, NY-Director of Student Conduct & Deputy IX Coordinator | joshua.bell@nyfa.edu

AI in the Classroom

In this session, Sam Lingrosso, LA’s former Associate Dean of Students, shared his experience with AI as not only a staff member, but also as a faculty member. Some of the topics he explored included what the process looks like when instructors suspect AI has been inappropriately used and measures faculty can take to identify differences between work generated by AI or students.

Prima Gonzalez, NYFA’s LA/SoBe-CETL Director, highlighted an AI-driven public speaking tool (Yoodli), which can be used in a variety of ways to promote skill development across multiple programs. She also discussed considerations faculty can make when deciding if AI has a place in courses. In addition, measures to promote academic integrity and other AI-centered resources that live on the CETL site were also spotlit. We recognize the value of utilizing community knowledge and not only sharing ways that AI is being applied in our classes, but seeing how these tools can be used in different ways to reinforce learning goals and exercise higher order thinking skills across departments. 

*Note: The LA Campus' current Associate Dean of Students is Susana Soto (susana.soto@nyfa.edu).

Additional AI Resources

1. AI for Education: AI Webinar Series for Educators: This organization has archived webinars on a variety of topics, including:  assessment, prompt engineering, and developing AI policies. Downloadable resources are also available. 

2. Padlet: University Policies on Generative AI: This padlet provides a bank of example policies and considerations for devising class-specific policies.

3. Brown University AI Policy for Syllabi: Here is an example of an AI usage policy from Professor Monica Linden, Brown University Neuroscience & Provost’s Faculty Teaching Fellow, shared by their faculty resource center as a good example of an AI policy to be included in a syllabus.

4. Formatting a Course-Specific AI Policy: This document provides suggestions for drafting a course-specific AI policy (one with precision and one that is more flexible), as well as a reminder you can add to Google Classroom assignments and exercises.

Please consult your Department Chair, CETL, or the campus staff member handling academic integrity for further questions regarding AI in the classroom. 

*Check back for a bank of working AI policies NYFA faculty have drafted for a variety of courses.