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.
   
• AI Detection Tools (U-M Flint)
  This resource discusses AI detection tools. AI detection tools, designed to identify AI-generated content, currently face reliability challenges. These tools often struggle with distinguishing between AI-generated written text and high-quality student work, potentially leading to false positives that can unfairly penalize students. 
   
• 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.
   

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