Coursework
Conditions and evidence gaps
Instructor acceptance and syllabus rules govern assignment use; unaccepted AI-generated responses may be academic dishonesty.
CourseworkUniversity of Texas at Austin
Conditions and evidence gaps
Status & scope
Teaching guidance, graduate research recommendations and tool/data restrictions address different tasks; institutional access does not authorize every assignment.
Instructor acceptance and syllabus rules govern assignment use; unaccepted AI-generated responses may be academic dishonesty.
Original official evidence
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https://ctl.utexas.edu/generative-ai-teaching-and-learning-policies
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The use of generative AI tools to create responses to course assignments in a way that is unacceptable to the course instructor may be considered a case of academic dishonesty by the university.
Claim & location details
UT Austin CTL teaching-policy guidance says using generative AI tools to create course-assignment responses in a way the instructor does not accept may be considered academic dishonesty by the university.
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Policies - Academic Honesty
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https://provost.utexas.edu/the-office/faculty-affairs/office-of-academic-technology/requiring-generative-ai-in-the-classroom/
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Ensure that your syllabus clearly identifies Syllabus Policy statements regarding the use of generative AI in your class. If you plan to encourage or require the use of generative AI in your class, ensure that requirement is clearly listed in the Required Course Materials section of your syllabus.
Claim & location details
UT Austin classroom guidance recommends that instructors requiring generative AI understand and abide by UT acceptable-use guidance, identify syllabus policies clearly, and submit specific software requirements through the University Co-Op.
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Recommended Practices for Requiring the Use of Generative AI in the Classroom
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Your Syllabus at UT Austin
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All courses must include a Course Artificial Intelligence Policy in the course syllabi at the time each syllabus is published each semester.
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Your Syllabus at UT Austin
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The Artificial Intelligence Policy must include the University’s Course AI Policy Syllabus Statement below and designate whether AI is 1) permitted, 2) prohibited, or 3) partially permitted in each course.
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Your Syllabus at UT Austin
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Generative AI in Teaching and Learning: Policies
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The use of generative AI tools to create responses to course assignments in a way that is unacceptable to the course instructor may be considered a case of academic dishonesty by the university.
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Generative AI in Teaching and Learning: Policies
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