Many instructors in higher education have plenty of questions about how generative AI will change the way we design learning experiences for students, and they way we assess learning, which includes considerations of academic integrity, chiefly plagiarism and cheating.. This section of this guide includes links to resources, examples from colleagues, related to generative AI and academic integrity.
Q: Why don't we have an generative AI academic integrity policy?
A: We do. It's the academic integrity policy. While we need to mention generative AI specifically, the policy covers non-sanctioned and unethical uses of gAI as it does for any information resource or tool.
Students may not cheat, fabricate, falsify, forge, sabotage, or plagiarize (or when it comes to other student conduct requirements: harass or threaten or cause other intentional harm). This literally covers everything students can do with gAI that is not sanctioned by instructors or assignments. So now our job is to both convince and support students through our assignments and our language and our actions that student voice and insights matter, and that mistakes in good faith are of value in the learning process.
Still, our institution does need to develop its own working policy for generative AI tools including equity focused interactions with our students concerning gAI, and for using gAI legally and ethically as a campus which includes issues in copyright, privacy, security, and safety.
Q: Are ChatGPT outputs "sources" of information for academic work?
A: The foundation of academic/scholarly work is the ability to accurately track and credit the scholarly conversation on a topic or line of research - provenance.
It's important to note that genAI outputs, such as ChatGPT's outputs, are generated using machine learning algorithms. Remember at this time, genAI LLMs use their training and our inputs to create an output of "predicted" word strings for that topic. There is no provenance for this information. In addition, ouputs may not always be accurate or reliable; they do not cite their sources, and/or they still often hallucinate non-existent sources. Additionally, outputs can be influenced by the user inputs that include misinformation and bias.
Therefore, unless the assignment specifically allows for the use of genAI outputs as sources, they should not be used as sources for academic work if this is your intent for your students, to do the work of scholars. It will likely be necessary to instruct students on the work of scholars and the importance and value of provenance in academic work.
Winter 2025 - 5 credit College Success course
About generative AI (including, but not limited to, ChatGPT) and Academic Integrity
Artificial Intelligence: We acknowledge the continued growth and sophistication of Artificial Intelligence (AI). Although generative AI (such as DeepMind's Alpha Code, ChatGPT, GPT-3.2, etc.) is a tool that can be used for creativity and learning, this class focuses on developing YOUR skills as a writer, reader, and critical thinker. Unless it is explicitly instructed in the written assignment guidelines to use it, the use of generative AI is prohibited.
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adapted from draft Academic Integrity policy - see box on this page
As faculty we will have different needs within our programs, courses, classes, and disciplines. We are also in a highly experimental stage of working with AI with our students.
A group of TCC faculty and administrators have been working on developing an Academic Integrity policy. Prior to 2023 TCC did not have a campus-wide policy, only procedure. This policy is currently in its draft form while the work group gathers feedback from campus community members. It includes an AI statement, rather than an AI policy, which we as a campus still need to compose.
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