DePaul University’s Academic Integrity Policy defines plagiarism as:
When one uses words, ideas, or work products attributed to an identifiable source, without attributing the work to the source from which it was obtained, in a situation where there is a legitimate expectation of original authorship in order to obtain benefit, credit, or gain.
The full Academic Integrity Policy outlines what constitutes a violation of academic integrity, details sanctions, the process for hearings, outcomes, and more.
Written by Artificial Intelligence Working Group (AIWG)1
As part of a Catholic Vincentian university, the DePaul University Library advocates that when generative Artificial Intelligence (AI) tools are implemented, they must be used in ways that uphold the dignity of all members of our diverse, multi-faith, and inclusive community. Following our ethic of Vincentian personalism, we believe that any implementations of generative AI tools should enhance human flourishing and personhood, not simply deliver convenience or efficiency of their own sakes.
The DePaul University Library recognizes that generative AI is not neutral and that the use of generative AI tools inherently reflects the biases and positionality of the people and systems who built each tool as well as those who prepared data used for their training. Whatever value these tools might hold is offset by these innate limitations, which necessarily impacts their applicability and reliability.2
Consistent with the Mission, Vision & Values of the DePaul University Library to cultivate and sustain the intellectual, creative, and social passions of our students, faculty, and staff, the Library will, on an iterative and continual basis:
1 In March 2025, the Artificial Intelligence Working Group (AIWG) at DePaul University Library took upon itself the task of creating this values statement to serve as a guide to the working group, the library, and its patrons in approaching the evaluation and/or use of generative AI tools as well as relevant issues.
2 Smithsonian Institution. (2023, October 25). Developing responsible AI practices at the Smithsonian Institution. Smithsonian. https://datascience.si.edu/ai-values-statement