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DTLC Guidance on Plagiarism and Artificial Intelligence

Please note:

The guidance document admits that we do not have all the answers; it provides links to research and articles about the topic. It will be a webpage that is routinely updated by the DTLC.

Promoting Critical Literacy

Information literacy serves as a crucial foundation for AI literacy, equipping learners with the skills to evaluate AI-generated content critically. Just as information literacy emphasizes identifying credible sources, understanding context, and addressing bias, these principles extend to assessing AI tools and their outputs. Learners must not only differentiate between AI tools and traditional search engines but also evaluate AI-generated content for credibility, accuracy, and inherent biases. By integrating information literacy standards, such as evaluating sources, refining queries, and ethical information use, individuals can navigate the challenges of AI-generated content and leverage these tools responsibly and effectively.

  • Encourage revisiting course activities using the information in the tables/resources.
  • Facilitate connections between faculty, Instructional Designers, and Librarians to share ideas and develop student workshops.
  • Raise awareness of bias in AI and its usage;
  • Consult resources such as faculty guidance, articles, guides, and Canvas courses.