Generative AI Academic Integrity Resources

Academic Integrity and Generative AI

There are implications for academic integrity when considering Generative AI. Below are resources to help faculty/instructors and students understand how to properly use Generative AI for teaching and learning.

  • Introduction to Academic Integrity (U-M Library page) 
    This page from the U-M Library provides an overview of academic integrity, academic ethics, and plagiarism and includes a discussion of ChatGPT. Citation help will be updated often as styles adopt new guides.
  • IT User Advocate/ITS IA Academic Integrity Support Principles
    The IT User Advocate works with the University of Michigan community to ensure that U-M information technology policies and guidelines are followed and responds to reports of abuse and misuse of U-M IT resources. 
    • As necessary and appropriate, ITS Information Assurance (IA) supports U-M schools, colleges, and administrative units in academic misconduct investigations. IA staff adhere to the guiding principles outlined the ITS IA Academic Integrity Support Principles when engaging in the investigation of academic misconduct.
  • Academic Integrity Resources for Students
    The IT User Advocate works with the University of Michigan community to ensure that U-M information technology policies and guidelines are followed and responds to reports of abuse and misuse of U-M IT resources.
  • Academic Integrity Resources for Students (LSA Technology Services page) 
    The page provides a list of FAQs for students in regards to academic integrity.

Getting Started with Generative Artificial Intelligence: U-M Instructor Guide

Explore U-M's instructor guide packed with GenAI resources and actionable steps for your course!