Vassar 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, 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.
Unauthorized use of another person’s work or an artificial intelligence to complete academic work and submit it as one’s own constitutes lying and cheating.
Lying and cheating include, but are not limited to, the following forms: … submitting, whether in whole or in part, another person’s work or artificial intelligence output without acknowledgment; … unauthorized use of devices or resources, such as calculators and translation software
Unauthorized use of another person’s work or an artificial intelligence to complete academic work and submit it as one’s own constitutes lying and cheating.
Lying and cheating include, but are not limited to, the following forms: … unauthorized use of devices or resources, such as calculators and translation software
As you know, Vassar is enabling new M365 Copilot features to support our employees in various tasks. Microsoft has guaranteed Vassar’s data and prompts remain secure and inaccessible to unauthorized parties, unlike public AI applications such as free ChatGPT.
In order to access these Copilot features, users need to have read and agreed to the official college policy on AI, as detailed here: https://go.vassar.edu/policy/artificalintelligence. This is not optional and must be completed before access is granted.
Artificial Intelligence (AI) services may only be used with data classified as Public. College community members shall not submit or disclose Internal Use, Protected, or Restricted information to public or unauthorized AI services under any circumstances.
Internal Use data may be used with approved enterprise AI solutions that ensure appropriate security and privacy protections.
Protected and Restricted data may only be used with approved enterprise AI solutions if expressly permitted by the Vassar CIO or ISO based on documented safeguards and a completed privacy and security review.
Research Misconduct means fabrication, falsification, plagiarism, or misappropriation in proposing, performing, or reviewing research, or in reporting research results.
Falsification means manipulating research materials, equipment, or processes, or changing or omitting data or results, such that the research is not accurately represented in the research record.
Plagiarism means the appropriation of another person's ideas, processes, results, or words without giving appropriate credit.
Misappropriation means the unauthorized use of confidential information, including private ideas, processes, results or words, or any actions to use or publish any of these. Such actions can include a breach of confidentiality or the abuse of material or financial resources.
Lying and cheating include, but are not limited to, the following forms: … submitting, whether in whole or in part, another person’s work or artificial intelligence output without acknowledgment
Unauthorized use of another person’s work or an artificial intelligence to complete academic work and submit it as one’s own constitutes lying and cheating.
If there is evidence that a student’s work may have involved lying and cheating, a faculty member should consult with the dean of studies office before speaking to the student directly.
Any member of the faculty who has reason to think that a student may have engaged in lying and cheating should notify the dean of studies office and furnish the evidence. The faculty member and student then meet with the dean of studies or their designee to discuss the issue and determine whether a hearing by the Academic Panel may be warranted.
As you know, Vassar is enabling new M365 Copilot features to support our employees in various tasks. Microsoft has guaranteed Vassar’s data and prompts remain secure and inaccessible to unauthorized parties, unlike public AI applications such as free ChatGPT.
In order to access these Copilot features, users need to have read and agreed to the official college policy on AI, as detailed here: https://go.vassar.edu/policy/artificalintelligence. This is not optional and must be completed before access is granted.
Vassar is offering a free linked-in learning course called, “Copilot for all”, to support your understanding and use of this AI technology.
Artificial Intelligence (AI) services may only be used with data classified as Public. College community members shall not submit or disclose Internal Use, Protected, or Restricted information to public or unauthorized AI services under any circumstances.
Internal Use data may be used with approved enterprise AI solutions that ensure appropriate security and privacy protections.
Protected and Restricted data may only be used with approved enterprise AI solutions if expressly permitted by the Vassar CIO or ISO based on documented safeguards and a completed privacy and security review.
Data Classification Policy
The College categorizes institutional data as Public, Internal Use, Protected, or Restricted according to its sensitivity and potential impact if improperly accessed, disclosed, altered, or destroyed.
Artificial Intelligence (AI) services may only be used with data classified as Public. College community members shall not submit or disclose Internal Use, Protected, or Restricted information to public or unauthorized AI services under any circumstances.
Internal Use data may be used with approved enterprise AI solutions that ensure appropriate security and privacy protections.
Protected and Restricted data may only be used with approved enterprise AI solutions if expressly permitted by the Vassar CIO or ISO based on documented safeguards and a completed privacy and security review.
In order to access these Copilot features, users need to have read and agreed to the official college policy on AI, as detailed here: https://go.vassar.edu/policy/artificalintelligence. This is not optional and must be completed before access is granted.
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.
Vassar College has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
When AI-generated material is used in academic work, acknowledgment is required. Submitting AI output without acknowledgment is treated as a form of lying and cheating under the academic responsibility policy.
The university does not define AI detection tools in the provided sources. Enforcement is through existing academic integrity processes: unauthorized AI use in academic work is categorized as lying and cheating, which places it within the college's academic misconduct framework.
Vassar has an explicit data-governance rule for AI. Only Public data may be used with public or unauthorized AI services; Internal Use data may be used only with approved enterprise AI solutions; Protected and Restricted data require approved enterprise AI solutions plus express permission from the CIO or ISO based on safeguards and review.
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