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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.

Syllabus Statements

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. 

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

Webinars

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. 


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.

Literature Review

In alignment with the Provost's strategic priorities, the Center for Teaching and Learning actively monitors the rapidly evolving landscape of artificial intelligence and its implications for higher education. The following annotated resource list represents a selection of key articles and reports our team has identified since April, 2025. This curated collection is organized thematically to provide a multi-faceted overview of AI's impact on pedagogical practices, the broader business and economic environment, and significant cultural and legal developments.

📚 Pedagogical Applications & Concerns

This theme covers the direct impact of AI on teaching, learning, and curriculum design, including classroom policies and the perspectives of students and faculty.

🏛️ AI Detection & Academic Integrity

These resources focus specifically on the challenges of maintaining academic honesty, including the use of AI detection software and strategies to prevent cheating.

💼 Business & Economic Impact

This section examines AI's effect on the workforce, corporate strategy, and the economy, including job displacement, new job creation, and market trends.

⚖️ Legal, Policy, & Governance

This category includes articles on government regulation, corporate lawsuits, data privacy, and ethical guidelines governing AI development and use.

🌍 Cultural & Societal Impact

These articles explore the broader effects of AI on society, including misinformation, public trust, mental health, and changes to the internet ecosystem.

⚙️ Technical Developments & Limitations

This final theme focuses on the technology itself—its capabilities, inherent flaws, research breakthroughs, and the ethical considerations of its development.

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