Wellesley College AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
75%9 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

Wellesley College has defined AI policies across 9 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 data analysis. At the institutional level, the university has established guidelines for faculty and staff AI use, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
AI ProhibitedViolations Enforced
  • Wellesley does not state a uniform college-wide AI rule for coursework in the provided sources
  • However, the CS 111 course has a course-specific rule that prohibits any use of AI-powered tools for learning and completing assignments, and treats intentional violations as Honor Code violations

Intentionally breaking this policy is considered a violation of Wellesley’s Honor Code.

You are expected to turn in code that you have authored in this class. Submitting code created by or with the help of AI-powered tools (see below what is included under such tools) is considered equivalent to consulting a student who took CS 111 in prior semesters or any other CS knowledgeable person. Given that such consultations are prohibited, the use of AI-powered tools for learning and completing any type of assignments is also prohibited. Read below our longer rationale for this decision.

To be super clear, any AI use is explicitly disallowed in CS111.

U2Examinations & Assessments
AI Prohibited in Exams
  • In CS 111, quizzes and exams prohibit consulting anything other than hardcopy notes, and the separate CS 111 AI tools policy states that any AI use is explicitly disallowed in the course
  • The provided university-wide Honor Code materials discuss non-proctored take-home exams and self-scheduled finals as privileges of the Honor Code, but they do not define an AI-specific exam rule

The assumption that Wellesley College students are trustworthy confers a number of privileges, the most readily discernible of which are non-proctored take-home exams and self-scheduled final exams.

When working on quizzes or exams, you must not communicate with anyone else in any way and must not consult anything other than hardcopy notes.

To be super clear, any AI use is explicitly disallowed in CS111.

U3Learning & Study Assistance
AI Restricted
  • But CS 111 separately prohibits AI-powered tools even for learning, so permitted use varies by course rather than following a single university-wide student rule
  • Wellesley’s broader academic AI page includes an example course where students use generative AI as a tutor to help explain complicated neuroscience techniques and explore questions

In NEUR 301, students write an NIH-style grant proposal on a neuroscience topic of their choice. Students use generative AI as a tutor to help explain complicated neuroscience techniques they encounter in their literature searches. In addition, students are encouraged to use GenAI to help explore the critical questions in their topic (for example, mechanisms of cell death in Alzheimer’s disease) and help determine the advantages and limitations of the experimental approaches in their proposals.

Given that such consultations are prohibited, the use of AI-powered tools for learning and completing any type of assignments is also prohibited.

U4Code Generation & Programming
AI Code RestrictedAttribution Required
  • For CS 111, Wellesley explicitly prohibits AI use for code generation or assistance
  • Students are expected to submit code they authored themselves, AI-generated or AI-assisted code is treated like prohibited outside consultation, and the course uses automated analysis of submissions with possible Honor Code charges

You are expected to turn in code that you have authored in this class. Submitting code created by or with the help of AI-powered tools (see below what is included under such tools) is considered equivalent to consulting a student who took CS 111 in prior semesters or any other CS knowledgeable person. Given that such consultations are prohibited, the use of AI-powered tools for learning and completing any type of assignments is also prohibited. Read below our longer rationale for this decision.

To be super clear, any AI use is explicitly disallowed in CS111. Accordingly, throughout the semester, we will use our own tools that automatically analyze your submitted code to check for signs of AI-generated code.

If we detect what we think is AI-generated code in one of your submissions, we may, at any point in the semester, have a conversation with you about your code, and/or file an Honor Code charge against you.

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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
Data Policy Defined
  • The materials are descriptive rather than regulatory
  • The provided sources describe research and internship examples involving AI, but they do not set a policy governing the use of AI for research data collection, analysis, or interpretation

In summer 2024, Vicky Lee ’25 bridged technology and policy through two experiences: researching the reliability of large language model (LLM)-generated relevance judgments at the National Institute of Standards and Technology, and exploring national security theory within the context of U.S.-China relations with the Hertog Foundation.

Using AI models for drug development has become a promising strategy in cancer research, as it reduces the time and cost to find possible starter molecules. During summer 2024, Lucia Urreta ’26 worked as an intern with Dr. Al-Lazikani at the MD Anderson Cancer Center, developing code to evaluate 3D molecular generative models using several metrics and analyzing intermolecular interactions between the generated molecules and their protein pockets.

U7Research Ethics & Integrity
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No policy defined yet
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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • The provided sources do not define a university-wide AI disclosure or citation rule
  • CS 111 does require students to disclose human collaborators in a "Consulted:" row, but its AI policy prohibits AI use altogether rather than prescribing attribution for allowed AI use

Each student will create solution files for a task. You should write the names of everyone you collaborated with in the "Consulted:" row of your top-of-file information, including other classmates, tutors, and instructors.

To be super clear, any AI use is explicitly disallowed in CS111.

U9Detection & Enforcement
Integrity Process
  • Wellesley’s Honor Code procedures provide a general mechanism for investigating and adjudicating academic violations
  • In CS 111, the course explicitly states that intentional AI-policy violations are Honor Code violations, that instructors will use automated tools to analyze submitted code for signs of AI generation, and that suspected cases may lead to conversations with the student or an Honor Code charge

The Honor Code Council, a student-staff-faculty committee, is responsible for policies and procedures pertaining to the Honor Code.

The following procedures are used to investigate and adjudicate alleged violations of the Code of Student Conduct as applied to academic and conduct related matters

Any member of the College community may file Charges against a student for violations of the Code of Student Conduct and thus the Honor Code. A Charge shall be prepared in writing and submitted to the Case Coordinating Team through a secure on-line form. A Charge should be submitted as soon as possible after the alleged violation takes place.

Intentionally breaking this policy is considered a violation of Wellesley’s Honor Code.

To be super clear, any AI use is explicitly disallowed in CS111. Accordingly, throughout the semester, we will use our own tools that automatically analyze your submitted code to check for signs of AI-generated code.

If we detect what we think is AI-generated code in one of your submissions, we may, at any point in the semester, have a conversation with you about your code, and/or file an Honor Code charge against you.

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Institutional & Administrative

U10Faculty & Staff Use
Faculty Policy Defined
  • The provided sources do not set AI-specific rules for grading, feedback, lesson planning, or administrative communications
  • Wellesley’s academic approach encourages individual faculty to critically and creatively develop curricula in a world of AI, indicating faculty discretion in classroom use

Our academic approach encourages individual faculty to think critically and explore creatively as they iterate and develop curricula in a world of AI.

U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • Wellesley articulates an institutional AI strategy centered on preparing ethical leaders with interdisciplinary AI understanding and on engaging AI as a campus imperative
  • It also states that the academic approach encourages faculty experimentation and that experiential learning contributes to the evolution of the campus approach to AI, but the provided sources do not identify a dedicated AI committee or formal governance body

Preparing ethical leaders with an interdisciplinary understanding of AI and the confidence and agency to transform our digital future

Thus, a commitment to engaging with AI is not only in our interest; it is our imperative.

As a community, we call upon students who will become future leaders to investigate bias, grapple with philosophical and technical challenges, preserve humanistic values, and innovate in ways that prioritize positive societal impact.

Through a multifaceted and insightful liberal arts education, Wellesley students will lead as wise stewards, mitigating harm to leverage positive advancements for human flourishing.

Our academic approach encourages individual faculty to think critically and explore creatively as they iterate and develop curricula in a world of AI.

Experiential learning provides opportunities for undergraduates to apply their liberal arts skills and knowledge in the world and facilitates the ongoing iterative evolution of our campus approach to AI as they bring new perspectives, ideas, and innovations back to the classroom and community.

DocuMark: Responsible AI Use for Academic Integrity

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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