GenAI and Academic Integrity

Generative Artificial Intelligence (GenAI) tools are reshaping how students learn and create, raising questions about ethical use, academic integrity, and the value of original thinking in higher education. As these tools become increasingly integrated into the technologies we use for research and writing, and their power and sophistication grows, the challenge of appropriate and ethical AI use becomes more complex. While submitting AI-generated output without attribution is inappropriate, the more nuanced questions regarding where, when, and how students might ethically use Generative AI merit ongoing discussion.

Academic integrity encompasses more than preventing misconduct. It also includes building a culture of trust, curiosity, and intellectual honesty. We need to encourage students to understand that complexity, ambiguity, struggle, and even confusion are all evidence of learning, not reasons to outsource their work to technology. At the same time, instructors should design assignments and activities that promote meaningful learning, offer support for struggling students, and mitigate the risks of high-risk failures that arise during the learning process.   

The resources below offer guidance for instructors navigating this evolving context with clarity and purpose. It includes advice on strategies for engaging students in productive conversations about GenAI use, commentary on the state of AI detection tools, recommendations and resources for addressing citation practices, ideas for designing AI-resilient assignments, and, importantly, procedures for handling suspected misuse.