Skip to Main Content

Artificial Intelligence (AI) Literacy: Ethics of AI

This guide introduces AI Literacy concepts and definitions, providing insights into the relationship between AI and research.

Ethically using AI for Research

The Basics:​

  •     Follow professor’s guidance​
  •     Presenting AI generated content as your own writing is academic dishonesty​

    ​AI and Academic Research​

  •     AI can be a starting point, but is not a substitute for your research​
  •     Be aware of strong potential for bias in results​
  •     Know where the information comes from and be able to cite it​
  •     Verify that the information is true from its original source​
  •     Don’t be fooled by its authoritative voice​
  •     Follow your discipline's best practices on citing AI

Privacy Concerns

Generative AI can accidentally reveal sensitive personal information .​

Generative AI can be trained on user uploads to social media​.

Generative AI often harvests and uses personal data of users.

Users must be careful about what information they provide to Generative AI and be careful not to share private personal information.

Bias in AI

Environmental Impact

Copyright and Intellectual Property Concerns

Generative AI was trained on articles and even books available on the internet without the authors permission. ​

Generative AI may plagiarize or reproduce copyrighted materials without citations​.

May mimic or recreate/appropriate art and unique artistic styles that are fed into it without providing appropriate credit.