You may consider adding a statement of integrity prior to submission for your assignments. For
example, students may need to check a box upon submission saying they didn’t use AI to
generate their assignment, or they used AI as a tool as allowed by course policies, but they did
not plagiarize content from AI.
Please note, syllabi should never include a statement of how violations of academic honesty will
specifically change grades in the course. Academic sanctions for academic misconduct are
determined only by the College Hearing Officer, not the faculty, and thus syllabi should not
specifically articulate any grade sanctions for academic misconduct.
DETECTION OF AI USE
Online AI detectors (e.g., ZeroGPT, GPTZero) have been deemed to be inaccurate and
inconsistent detectors of the use of AI (see article posted to the CTL website and other research
to support this). The same is true for the AI detector in TurnItIn in Canvas. As a result, the use
of the detection platforms is discouraged and cannot be used as sole evidence of AI use in a
potential academic misconduct case (see the below section for more information).
ACADEMIC MISCONDUCT WITH AI
If course policies around AI use are violated it is possible that academic misconduct occurred.
Academic misconduct related to AI use may fall into one of the following 3 categories:
• Cheating – The use of AI as a study aid or resource without prior, explicit authorization
from faculty.
• Plagiarism – Representation of the work of AI as their own without proper citation.
• Falsification – Fabrication of information from a source that does not exist.
Currently the Code of Student Conduct doesn’t explicitly mention AI, however, the inappropriate
use of AI still falls under the provisions found in Section 4.2. The language of the Code is
currently being updated to reflect how the use of AI could be academic misconduct.
If faculty have a situation that constitutes a violation of the Code of Student Conduct and
academic misconduct related to AI, faculty may choose to discuss the situation with the student
and provide a warning or assignment resubmission for the same point value, or proceed with an
academic misconduct case submission if it is deemed that an academic penalty is warranted.
The evidence submitted to support the case will need to include more than the AI detectors
(ZeroGPT, GPTZero, etc.). The reason for this is because these AI detectors have been
deemed to be inaccurate detectors of AI use and can lead to biases in determination of
culpability. OSU does not consider AI detectors to be a reliable indicator of AI use, as stated on
the CTL website. A high AI probability score can encourage additional scrutiny but does not
definitively prove a student used AI on an assignment. Other types of evidence that may be
submitted for an academic misconduct case involving AI could include:
• Evidence of a different writing style from previous work submitted in the course.
• The topics discussed in the submission are not topics covered in class or part of the
course.
• The answer for the submission does not directly address the prompt.
• The answer for the submission is vastly outside of the guidelines of the prompt (e.g., word
count too high, writing style inconsistent with expectations, etc.).
• The submission is highly similar to a response generated by AI when the assignment
prompt is entered in AI.
• Citations provided are fictitious.