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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.

What is Generative AI

Generative artificial intelligence, or GenAI, is an advanced technology that can produce art, music, and text that are almost indistinguishable from those created by humans. Popular GenAI tools include ChatGPT, DALL-E, and MuseNet. Rather than simply replicating existing work, these tools are designed to generate new content by recognizing and building on patterns learned from large training datasets.1

If this is true, what might the implications of machine-generated content be for artists, musicians, or journalists whose work is used to train GenAI, and for students who take advantage of the content created by GenAI? Some important considerations are

  • Who owns AI-generated content?
  • How accurate or reliable is AI-generated content?
  • What are the ethical implications of using AI-generated content?

Now, consider another aspect - the darker side of AI-generated content. What if these same machines can be used to manipulate information, spread misinformation, or create deceiving deep fakes? As you ponder the world of AI-generated content, ask yourself

  • What risks are associated with bias or misinformation in AI-generated content?
  • Is Gen AI plagiarizing when it produces content that imitates existing work?
  • How does the use of AI in content creation affect the job market for human content creators?
  • Is there a need for regulation and oversight of AI-generated content to ensure its responsible use?

Before we dive in, perhaps the most fundamental question is, how do machines learn to generate content?


How do Machines Learn?

In this video, computer scientist Hilary Mason explains machine learning in five levels of increasing complexity by talking about it to 5 different people: a child, a teen, a college student, a grad student and an expert. It is a long video so you can choose to watch one or two interviews or the entire video if you have time. It can easily be watched at 1.5 times the speed.


Source: Computer Scientist Explains Machine Learning in 5 Levels of Difficulty by WIRED on YouTube


Test Your Understanding

Attempt this quiz even if you watched only a portion of the video. Remember to your answer and read the feedback provided after each question, as it will confirm the concepts covered in the video. Each question might have multiple applicable responses, but for the purpose of this quiz, only the response discussed in the video will be marked correct. There are five questions and quiz scores are not stored.

1. Wolff, Tristan. “What Is Generative AI and Can It Create Original Content?” Medium, July 3, 2023.