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Understanding Generative AI (GenAI) Tutorial

This module replaces the GenAI module found in the 2018 Academic Integrity Tutorial. The 2024 Academic Integrity Tutorial does not contain a module about GenAI specifically. Please use this one instead.

Learning Outcomes

In the Machine Learning video, Hilary Mason discusses the potential impact of AI across various sectors, emphasizing the importance of transparency, fairness, and thoughtful use of these technologies. Generative AI, which represents the next level of machine learning, is much more advanced and requires greater awareness of both its capabilities and the ethical considerations surrounding its usage.1

As a student contemplating whether or not to use generative AI tools for academic tasks, it's essential to be mindful of both the potential and limitations of GenAI. This includes understanding its susceptibility to bias and the potential for errors (hallucinations) in its outputs.


At the end of this module, you should be able to

  • Recognize the fundamental principles and applications of Generative AI.
  • Identify the limitations of Generative AI and the ethical dilemmas associated with its use.
  • Adopt strategies to address ethical dilemmas arising from the use of Generative AI in your studies.
  • Evaluate the impact of AI-informed decisions on your personal academic growth, your peers, and society.

1. RedBlink. “Generative AI vs Machine Learning vs Deep Learning Differences.” Redblink, August 4, 2023.