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Artificial Intelligence: A Guide for Students

Provides a general overview of uses, tools, and issues with GenAI (generative artificial intelligence).

What "responsible use" means

Responsible use of AI means:

  • Knowing when and how to use AI tools
  • Following your instructor's rules
  • Using AI to support not replace your own work
  • Being Being transparent about when you've used AI
  • Thinking critically about the information AI provides

AI is a tool, not a shortcut.  You are responsible for how you use it in your academic work.

Academic consequences of misuse

Using AI without understanding its limits can its limits can easily lead to academic dishonesty--even if you didn't mean to cheat.

Misusing AI tools can lead to serious consequences. Some examples of misconduct include: 

  • Submitting AI-generated work or images as your own.
  • Failing to cite AI tools when required.
  • Letting AI complete assignments meant to measure your understandings.
  • Using AI to shortcut research, instead of engaging with sources.
  • Using AI to mislead or deceive your instructor.

Possible penalties may include:

  • Failing the assignment.
  • Academic integrity violations on your record
  • Failing the course
  • Suspension or further disciplinary action

Even if your misuse was accidental, you are still responsible. That's why understanding ethical use matters.

Your education is about more than just grades!  It's about learning how to think, create, and lead in a world where AI will be part of the conversation.

Guarding your own data and identity

Many free or public AI tools collect user data.  Be careful:

  • Read the tool's Terms of Service.
  • Avoid using personal or identifying information in prompts.
  • Do not use school login credentials to sign up for unapproved AI tools
  • Know who owns the content created as you may not have control over it.

Your information is valuable. Protect it.

Potential harms of Large Language Models (LLMs)

AI tools don't just affect individuals--they can also cause wider social, ethical, and academic harm.  Explore the infographic below to learn about some of the risks and challenges associated with large language models.

Attribution:

"Some Harm Considerations of Large Language Models (LLMs)" by Rebecca Sweetman is licensed under CC BY-NC-SA 4.0.