Artificial Intelligence Policy
Rochester Christian University Artificial Intelligence Policy
Disclaimer: This is an evolving stance by the university that may be adjusted in the future as the RCU community continues to learn how artificial intelligence (AI) may effectively be utilized in higher education.
As noted in Rochester Christian University’s Code of Academic Integrity, original work from students is the expectation on assignments. Students should complete the necessary work to achieve learning outcomes and acknowledge sources that contribute to scholarly conversation. Unapproved use of generative AI will therefore be treated as a violation of the Code of Academic Integrity.
These expectations are not new, but recent developments in generative AI have created new challenges for conventional practices and the fair use of copyrighted materials. AI is an evolving tool that will likely continue to grow in its utility. However, in its current state, generative AI is not a reliable academic source, since it cannot assess the quality of the resources it summarizes and it has been known to fabricate content.
Therefore, Rochester Christian University’s stance is neither to entirely forbid the use of AI in academic endeavors nor to allow for its unrestricted assistance with assignments. As a means of steering a path through these extremes, the following expectations apply to all areas of study:
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AI should not be used to generate a portion or the entirety of any work submitted for a class unless such use has been approved, in writing, by the instructor.
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In general, it is inappropriate to cite AI as an academic source in a research project, for the reasons mentioned above. Any sources referenced by AI-generated content must be reviewed directly by the student.
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If an assignment allows for the use of AI, any AI-generated content must be cited or acknowledged in an appropriate place on the student’s submitted assignment. Students must cite the systems used and document the relevant prompts utilized in their process, using an instructor-approved citation format.
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In order to maintain an equitable learning environment, any AI systems required in course assignments must be accessible regardless of ability and financial status.
Recognizing both the challenges and benefits of AI systems and how these differ by discipline, the university depends upon deans and department chairs to develop program-specific AI guidelines.
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The following sources provided ideas incorporated into this policy: