Colby College AI Policy

MainePrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
100%12 of 12
Prohibited
Coursework
This university prohibits AI tool usage for coursework and assignments unless explicitly authorized by the instructor.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Tools Active
Detection
The university employs AI detection software (such as Turnitin or similar tools) to identify AI-generated content in submissions.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

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.

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Teaching & Learning

U1Coursework & Assignments
AI Prohibited
  • Use of generative AI in coursework is governed primarily by instructor discretion
  • Submitting AI-generated material as one's own work is treated as academic dishonesty unless the instructor has specifically authorized that use
  • The college states that some faculty may prohibit AI entirely, while others may permit it with limits or for specific purposes; students must understand and follow the policy for each course or assignment

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.

U2Examinations & Assessments
AI Allowed in AssessmentsIntegrity Code Applies
  • The university does not provide a separate college-wide AI rule specifically for exams or quizzes in the provided sources
  • Instead, exam-related AI use falls under course-level rules and academic integrity expectations, meaning use beyond what an instructor allows would be misconduct

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.

U3Learning & Study Assistance
AI Encouraged for Study
  • Colby permits AI use for learning support when used appropriately
  • Students are also told to consult instructors about acceptable use in their courses
  • The guidance recommends using AI to ask questions, summarize concepts, identify points needing clarification, generate examples, and support brainstorming or revision, while keeping the student's own learning and authorship central

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.

U4Code Generation & Programming
AI Coding Allowed
  • The provided sources do not set a distinct university-wide policy for AI-assisted coding or programming assignments
  • Any use of AI tools for coding would therefore be governed by instructor permission and the general academic integrity rule against AI use beyond what the instructor allows

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.

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Research

U5Research Writing & Manuscript Preparation
AI Writing Restricted
  • Colby does not publish a dedicated policy specifically for AI use in research manuscripts or dissertations
  • Students producing research writing are subject to the same instructor-permission framework and academic integrity rules that govern all coursework
  • However, the General Counsel's AI guidance applies broadly to faculty and staff work, requiring that AI outputs be independently verified before being relied upon, and prohibiting input of regulated or high-risk data into AI systems without prior approval

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.

U6Research Data & Analysis
AI Analysis PermittedHuman Oversight Required
  • The guidance also warns that AI-generated outputs must be validated by a human user before being relied upon
  • Colby's legal guidance permits faculty and staff to use certain AI tools with institutional data only when the data are classified as low or moderate risk and the tool has approved safeguards
  • High-risk, confidential, or regulated data may not be entered into AI systems without explicit approval from the Office of General Counsel or Information Security and protection of the data to the university standard

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.

U7Research Ethics & Integrity
Review Board Involved
  • Colby does not publish a dedicated AI policy for grant proposals or IRB submissions
  • Researchers working with human-subjects or other regulated data must therefore ensure compliance with the data classification policy before using any AI tool in their research workflows
  • The General Counsel's guidance is the closest applicable institutional framework, requiring independent verification of all AI outputs before reliance and prohibiting input of regulated or confidential data into AI systems without express approval from the Office of General Counsel or Information Security

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.

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • More broadly, students must follow course-specific AI rules and clarify expectations with the instructor
  • 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

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.

U9Detection & Enforcement
Detection Tools UsedPenalties DefinedIntegrity Process
  • Unauthorized or undisclosed AI use is enforceable as academic dishonesty under Colby's academic integrity policy
  • 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
  • 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

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.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • Faculty are also encouraged to communicate their classroom AI rules clearly to students
  • Colby permits faculty and staff to use generative AI in their work, but requires human oversight and care with professional judgment
  • The legal guidance says AI outputs must always be independently verified, and faculty are specifically told not to rely on AI to assess student work or assign grades without review

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.

U11Institutional Data Protection & Approved AI Platforms
Data Protection ActiveUnapproved AI Blocked
  • Colby restricts AI use based on data classification and tool safeguards, as detailed in the General Counsel's AI Guidance Document
  • Users are also prohibited from accepting legal terms or certifying compliance on behalf of the college unless specifically delegated contracting authority
  • 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

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.

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • Colby has established an institutional AI governance framework anchored by the General Counsel's AI Guidance Document and the Academic Integrity Faculty Handbook (both updated August 2025)
  • No dedicated AI task force or long-range AI strategy roadmap is explicitly described in the available sources, but the framework reflects a cautious, human-oversight-centered approach to generative AI across teaching, research, and administrative functions
  • Oversight responsibilities are distributed across the Office of General Counsel and Information Security for data governance and legal compliance, the Center for Teaching and Learning for pedagogical guidance, and individual faculty for course-level rule-setting

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.

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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