Emergent Technologies

These resources give guidance on teaching and generative artificial intelligence and other technologies that impact learning environments. 

Relevant Initiatives

• Generative AI Community of Practice
• Teaching and Generative AI Pathway Series

GenAI Resources

• Rutgers University IT: AI Resources and Guidelines
• Rutgers University Libraries: GenAI in Teaching, Research, and Publishing

Join the Conversation on Microsoft Teams

• General | Teaching & GenAI @ Rutgers (for Rutgers faculty and staff members)
  • Code: l4kbskv 

Relevant Books

Teaching

Bowen, J. A., & Watson, C. E. (2024). Teaching with AI: A practical guide to a new era of human learning. JHU Press.

AI Literacy

Buolamwini, J. (2024). Unmasking AI: My mission to protect what is human in a world of machines. Random House.

Gallant, T. B., & Rettinger, D. A. (2025). The Opposite of Cheating: Teaching for Integrity in the Age of AI (Vol. 4). University of Oklahoma Press.

Narayanan, A., & Kapoor, S. (2024). AI snake oil: What artificial intelligence can do, what it can’t, and how to tell the difference. Princeton University Press.