Colby College has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
Faculty members are encouraged to define and communicate with students the extent to which use of generative AI is permissible in the classroom and on assignments. In some classes, the use of generative AI may be prohibited, while in others, use may be permitted or even encouraged in specific ways.
Students should understand and follow the policy for each class or assignment and seek clarification from the instructor if they are unsure of the acceptable use of generative AI in a particular context.
Submitting the work of another person or resource as one’s own, allowing another person or resource to alter or revise one’s work, or using artificial intelligence or machine learning tools beyond what is allowed by the instructor in a given course all count as academic dishonesty.
Use of AI should be in service of your writing and learning, but the writing and learning should still be your own.
GenAI can be a useful tool for writers throughout the writing process if used effectively and ethically. However, students should communicate with instructors about when and how they may use AI in their work.
Faculty members are encouraged to define and communicate with students the extent to which use of generative AI is permissible in the classroom and on assignments. In some classes, the use of generative AI may be prohibited, while in others, use may be permitted or even encouraged in specific ways.
Students should understand and follow the policy for each class or assignment and seek clarification from the instructor if they are unsure of the acceptable use of generative AI in a particular context.
Submitting the work of another person or resource as one’s own, allowing another person or resource to alter or revise one’s work, or using artificial intelligence or machine learning tools beyond what is allowed by the instructor in a given course all count as academic dishonesty.
Chat with AI while taking notes from reading or class discussion and ask questions. If a point from lecture isn’t making sense, ask AI to answer the question in simpler terms or from a different angle. You can ask AI to summarize and to identify the point where understanding breaks down.
As with the other strategies, it’s often best to reserve use of AI for after a draft has already been developed and just for points where you are really stuck. It can also be useful for examples and sentence-level revision concerns.
Use AI in the brainstorming process, asking for ideas and examples.
If you want to use AI at any stage of the writing process, ask your instructor about what would be considered acceptable use.
Faculty members are encouraged to define and communicate with students the extent to which use of generative AI is permissible in the classroom and on assignments. In some classes, the use of generative AI may be prohibited, while in others, use may be permitted or even encouraged in specific ways.
Submitting the work of another person or resource as one’s own, allowing another person or resource to alter or revise one’s work, or using artificial intelligence or machine learning tools beyond what is allowed by the instructor in a given course all count as academic dishonesty.
In any use of generative AI, it is imperative that users independently verify all outputs before relying on them.
Without prior, express approval from the Office of General Counsel or Information Security and the use of required safeguards, users may not input regulated, confidential or high-risk data, as designated by Colby's data classification policy, into generative AI.
Faculty and staff should not use generative AI to make discretionary decisions, or in any instance where professional judgment is required, without significant independent review.
Colby faculty and staff should only use generative AI with institutional data where the data is low to moderate risk, and where the generative AI has proper safeguards in place.
Without prior, express approval from the Office of General Counsel or Information Security and the use of required safeguards, users may not input regulated, confidential or high-risk data, as designated by Colby’s data classification policy, into generative AI.
In any use of generative AI, it is imperative that users independently verify all outputs before relying on them.
In any use of generative AI, it is imperative that users independently verify all outputs before relying on them.
Without prior, express approval from the Office of General Counsel or Information Security and the use of required safeguards, users may not input regulated, confidential or high-risk data, as designated by Colby's data classification policy, into generative AI.
Colby faculty and staff should only use generative AI with institutional data where the data is low to moderate risk, and where the generative AI has proper safeguards in place.
Do note, however, that if you use AI-generated language in your text, this must be acknowledged clearly in your final product.
You should also ask your instructor if they have specific requirements for AI citation or documentation.
Students should understand and follow the policy for each class or assignment and seek clarification from the instructor if they are unsure of the acceptable use of generative AI in a particular context.
Submitting the work of another person or resource as one's own, allowing another person or resource to alter or revise one's work, or using artificial intelligence or machine learning tools beyond what is allowed by the instructor in a given course all count as academic dishonesty.
A student found responsible for violating the academic integrity policy can expect a sanction from the faculty member that can range from a warning to failure in the course. In the case of severe or repeated violations, a faculty member may also choose to refer the student's case to the dean of the faculty or designee, who can choose to take additional disciplinary action.
In any use of generative AI, it is imperative that users independently verify all outputs before relying on them.
Faculty and staff should not use generative AI to make discretionary decisions, or in any instance where professional judgment is required, such as evaluation of student work or assigning grades, without significant independent review.
Faculty members are encouraged to define and communicate with students the extent to which use of generative AI is permissible in the classroom and on assignments.
Colby faculty and staff should only use generative AI with institutional data where the data is low to moderate risk, and where the generative AI has proper safeguards in place.
Without prior, express approval from the Office of General Counsel or Information Security and the use of required safeguards, users may not input regulated, confidential or high-risk data, as designated by Colby's data classification policy, into generative AI.
Finally, some generative AI requires review and acceptance of legal terms. Unless they are specifically delegated contracting authority by Colby, users should not accept legal terms or certify compliance with legal obligations on behalf of the college or themselves in relation to institutional use of the generative AI.
In any use of generative AI, it is imperative that users independently verify all outputs before relying on them.
Faculty members are encouraged to define and communicate with students the extent to which use of generative AI is permissible in the classroom and on assignments.
Without prior, express approval from the Office of General Counsel or Information Security and the use of required safeguards, users may not input regulated, confidential or high-risk data, as designated by Colby's data classification policy, into generative AI.
Faculty and staff should not use generative AI to make discretionary decisions, or in any instance where professional judgment is required, such as evaluation of student work or assigning grades, without significant independent review.
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Colby College has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
Colby requires transparency about AI use when a student incorporates AI-generated text into submitted work. The Writers' Center says such use should be explicitly acknowledged, and students are directed to ask instructors about preferred citation or documentation practices. More broadly, students must follow course-specific AI rules and clarify expectations with the instructor.
Unauthorized or undisclosed AI use is enforceable as academic dishonesty under Colby's academic integrity policy. Using AI tools beyond what an instructor permits counts as academic dishonesty, with sanctions ranging from a warning to failure in the course; severe or repeated violations may be referred to the dean of the faculty for additional disciplinary action. The Faculty Handbook (August 2025) is the primary institutional reference for faculty enforcement procedures, and no specific AI detection software policy is defined in the available sources.
Colby restricts AI use based on data classification and tool safeguards, as detailed in the General Counsel's AI Guidance Document. Faculty and staff may use AI only with low- to moderate-risk institutional data and only when the AI system has proper safeguards in place; regulated, confidential, or high-risk data require prior express approval from the Office of General Counsel or Information Security along with required protections. Users are also prohibited from accepting legal terms or certifying compliance on behalf of the college unless specifically delegated contracting authority.
Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai