Generative AI

What is Generative AI? 

Generative AI uses machine learning models to produce new information in the form of; text, image, video, etc. The information produced is derived from a large data set.

The data sets are trained to produce new content based on prompts, questions, or statements. This new content is produced, by scanning these large data sets and predicting what is typically the next; word, statement, or phrase (in the case of text-based content). As a result new “predictive” content is generated.

Lehman College Sample Syllabus Statements Regarding AI and Chat GPT (2024)

On January 17, 2024 Lehman faculty participated in the “Faculty Forum about AI: Use Cases and Syllabus Statements” session facilitated by the Center for Teaching and Learning and created a Lehman version of sample statements on AI use based on the sample syllabus statements regarding AI and Chat GPT from Bryant University. We invite faculty to consult with their department/academic program first, in case your department/program has already created syllabus guidelines/sample language.  

If you have a syllabus statement, you're willing to share, we'd be delighted to publish it on our website under Lehman’s faculty AI syllabus statements examples section. Send us an email to ctl@lehman.cuny.edu with your syllabus language on AI use. Include your name, discipline, department, and school when submitting. Your contributions would be a valuable resource for the entire Lehman/CUNY community. 

Webinars & Literature Review

We facilitate and sponsor multiple webinars during the academic year both faculty and student centered on Generative AI in teaching and learning, a current listing is below along with a continuously updated literature review. 

• Upcoming webinars on Generative AI

Academic Integrity & Generative AI Detection Software 

The Office of Online Education does not feel it is appropriate to use such tools as the sole means of identifying unoriginal work. We encourage you to review Lehman’s Academic Integrity policies, as well as the Academic Integrity FAQ’s, that addresses some of these concerns.

Additional Resources

Academic Integrity

• Stop Focusing on Plagiarism, Even Though ChatGPT is Here
• Keith, T. (2023). Combating Academic Dishonesty, Part 6: ChatGPT, AI, and Academic Integrity. The University of Chicago, Academic Technology Solutions. Retrieved [Dec. 13, 2023].

Accessibility

• McMurtrie, B. (2023). How ChatGPT Could Help or Hurt Students with Disabilities. The Chronicle of Higher Education. Retrieved [Dec. 13, 2023].

Assignments and Activities

• Mollick, E. (2023). Working with AI: Two paths to prompting. One Useful Thing. Retrieved [Dec. 13, 2023].
• Incorporating AI in Teaching: Examples from Yale Instructors. Yale Poorvu Center for Teaching and Learning. Retrieved [Dec. 13, 2023].

Syllabi Statement Examples

• Eaton, L. (2023). Syllabi Policies for Generative AI Tools. Google. Retrieved [Dec. 13, 2023].
• Mollick, E. (2023). My class required AI. Here’s what I’ve learned so far. One Useful Thing. Retrieved [Dec. 13, 2023].

Higher Education and Scholarship

• Swaak, T. (2023). We're All Using It": Publishing Decisions Are Increasingly Aided by AI. That's Not Always Obvious. The Chronicle of Higher Education. Retrieved [Dec. 13, 2023].