College of St. Benedict AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
75%9 of 12
Varies by Course
Coursework
AI use in coursework is determined at the instructor level. Each course may have different rules about AI tools.
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

College of St. Benedict has defined AI policies across 9 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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 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
Instructor Discretion
  • Students are expected to submit work in which the core intellectual substance is completed by the student, and plagiarism includes using generative AI content without credit
  • The university treats use of content not authored by the student in homework or other assignments as academic misconduct, unless course-level or instructor expectations authorize it

Students are assumed to be the author of all coursework they submit, and that all submitted work is completed in a manner ensuring that the core intellectual substance of the assignment is carried out by the student themselves.

• Cheating: copying the work of another student; receiving unauthorized assistance during an exam; use of content not authored by the student for homework, exams, or other assignments; submitting an assignment from one course for another course or other similar acts.

• Plagiarism: the act of using ideas, words, or work from another source (including generative AI or other emerging content creating tools) and presenting it as one's own without giving credit to the source creator(s).

• Actions indicating a general disregard of institutional or course-level policies, guidelines, or expectations regarding academic honesty and misconduct.

In addition to institutional policy, instruction on course level guidelines and expectations will also be provided, if applicable.

U2Examinations & Assessments
AI Prohibited in ExamsIntegrity Code Applies
  • Using unauthorized assistance in an exam is classified as cheating under the academic misconduct policy
  • The university prohibits unauthorized AI or other non-student-authored content during exams and other assessments

• Cheating: copying the work of another student; receiving unauthorized assistance during an exam; use of content not authored by the student for homework, exams, or other assignments; submitting an assignment from one course for another course or other similar acts.

Students are assumed to be the author of all coursework they submit, and that all submitted work is completed in a manner ensuring that the core intellectual substance of the assignment is carried out by the student themselves.

U3Learning & Study Assistance
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No policy defined yet
U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
AI Analysis Restricted
  • This applies broadly to users, including those handling research data
  • The technology policy does not define AI use for research analysis itself, but it does require users to protect research data and prohibits entering confidential, regulated, or restricted institutional information into unapproved AI platforms

Users must not upload, disclose, or process institutional confidential, regulated, or restricted information in unapproved cloud services, artificial intelligence platforms, or third-party applications without appropriate authorization and data protection controls.

Users must safeguard research data, intellectual property, and other institutional information assets in accordance with applicable grant, contractual, regulatory, and institutional requirements.

U7Research Ethics & Integrity
Review Board InvolvedEthics Framework Active
  • The only explicit AI-related research restriction in the provided sources is the prohibition on using unapproved AI platforms for confidential, regulated, or restricted institutional information
  • The university requires users to protect research data and institutional information when using AI tools, but it does not state an AI-specific policy for grant proposals, IRB applications, or formal research ethics declarations

Users must not upload, disclose, or process institutional confidential, regulated, or restricted information in unapproved cloud services, artificial intelligence platforms, or third-party applications without appropriate authorization and data protection controls.

Users must safeguard research data, intellectual property, and other institutional information assets in accordance with applicable grant, contractual, regulatory, and institutional requirements.

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Academic Integrity

U8Disclosure & Attribution Requirements
Requirements Defined
  • Using generative AI content as one's own without giving credit is defined as plagiarism
  • The university requires credit when generative AI or other sources are used in student work

Early in their college career, students review how to understand the value of intellectual property, avoid insufficient citation of sources, inappropriate paraphrasing of sources, and wholesale reproduction of unacknowledged sentences and paragraphs including those produced using emergent technologies, which are serious offenses in the scholarly world.

• Plagiarism: the act of using ideas, words, or work from another source (including generative AI or other emerging content creating tools) and presenting it as one's own without giving credit to the source creator(s).

U9Detection & Enforcement
Detection Tools UsedPenalties Defined
  • The university does not state a position on AI detection tools in the provided sources, but it does define an enforcement process for suspected misconduct involving generative AI
  • Instructors must present compelling evidence, complete a misconduct report, communicate the evidence and proposed penalty to the student, and cases can lead to disciplinary penalties and appeal procedures

If an instructor suspects academic misconduct, they must present compelling evidence of this misconduct.

1. An instructor suspecting a violation of the misconduct policy must gather evidence and fill out the instructor portion of the Report of Academic Misconduct Form (https://my.csbsju.edu/pages/faculty‐resources).

2. The instructor must communicate with the student to present the Academic Misconduct Form and the evidence of the specific offense.

The actions determined by the instructor (or by the appropriate Dean or Dean’s designee in cases of a second or third offense) will stand unless and until the student’s appeal leads to a finding that the

Violations of this Acceptable Use Policy will be handled through standard disciplinary processes as outlined in the Student Handbook and applicable faculty and staff handbooks. IT Services may take immediate action, including disabling accounts, isolating devices, or restricting network access, when necessary to protect institutional systems, data, or operations.

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Institutional & Administrative

U10Faculty & Staff Use
Staff GuidelinesRestricted Use
  • They also may not place confidential, regulated, or restricted institutional information into unapproved AI platforms without authorization and protections
  • Faculty and staff are covered by the general technology policy: they may use institutional technology resources for teaching, learning, research, administrative, and operational activities, but they must review AI-generated content for accuracy, appropriateness, confidentiality, intellectual property implications, and authorized use

In accordance with their mission to provide a liberal arts education, to foster the free exchange of ideas, and to provide effective support for its teaching, learning and research, it is the policy of the College of Saint Benedict and Saint John’s University (CSB and SJU) to permit broad access to information technology resources for students, faculty, and staff to use in fulfilling the institutional mission, and for appropriate college/university-related activities.

This policy applies to all persons who access or use institutional resources, which includes employees, students, faculty, emeriti faculty, visitors, volunteers, third parties, alumni, contractors, consultants, clients, temporaries, and others (collectively known as “users“), who have access to, support, administer, manage, or maintain CSB and SJU information and technology assets.

Users must not upload, disclose, or process institutional confidential, regulated, or restricted information in unapproved cloud services, artificial intelligence platforms, or third-party applications without appropriate authorization and data protection controls.

Users remain responsible for reviewing the accuracy, appropriateness, confidentiality, intellectual property implications, and authorized use of content created or processed using artificial intelligence tools.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection ActiveUnapproved AI Blocked
  • Users are also responsible for handling institutional information under applicable data classification, privacy, retention, and security policies, and for reviewing AI-generated content for confidentiality and authorized use
  • The university prohibits users from uploading, disclosing, or processing confidential, regulated, or restricted institutional information in unapproved AI platforms unless they have appropriate authorization and data protection controls

Users are responsible for handling institutional information in accordance with applicable data classification, privacy, records retention, and information security policies.

Users must not upload, disclose, or process institutional confidential, regulated, or restricted information in unapproved cloud services, artificial intelligence platforms, or third-party applications without appropriate authorization and data protection controls.

Users remain responsible for reviewing the accuracy, appropriateness, confidentiality, intellectual property implications, and authorized use of content created or processed using artificial intelligence tools.

Users must not configure institutional information or accounts to automatically forward, synchronize, copy, or store institutional information in unauthorized personal accounts, devices, storage services, or applications.

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • They only provide operational rules for technology use and academic misconduct involving AI-related content
  • The provided sources do not set out an institution-wide AI strategy, committee structure, ethics framework, or roadmap for AI adoption

not defined

DocuMark: Responsible AI Use for Academic Integrity

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.

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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