Harvard University 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 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.
All faculty are required to inform students of the policies governing generative AI use in class.
Whether students in your course are forbidden from using ChatGPT or expected to explore its limits, a policy helps ensure that your expectations for appropriate interaction with generative AI tools are clear to students.
You can choose from among the below example policies to add to your Canvas site, or you can design your own to suit the needs of your course.
We expect that all work students submit for this course will be their own.
We specifically forbid the use of ChatGPT or any other generative artificial intelligence (AI) tools at all stages of the work process, including preliminary ones.
Violations of this policy will be considered academic misconduct.
We draw your attention to the fact that different classes at Harvard could implement different AI policies, and it is the student’s responsibility to conform to expectations for each course.
This course encourages students to explore the use of generative artificial intelligence (GAI) tools such as ChatGPT for all assignments and assessments.
Any such use must be appropriately acknowledged and cited.
It is each student’s responsibility to assess the validity and applicability of any GAI output that is submitted; you bear the final responsibility.
Violations of this policy will be considered academic misconduct.
Certain assignments in this course will permit or even encourage the use of generative artificial intelligence (GAI) tools such as ChatGPT.
The default is that such use is disallowed unless otherwise stated.
Any such use must be appropriately acknowledged and cited.
It is each student’s responsibility to assess the validity and applicability of any GAI output that is submitted; you bear the final responsibility.
Violations of this policy will be considered academic misconduct.
Starting in Fall 2025, faculty can find Respondus, a new browser lockdown tool, on their Canvas site(s) to use for in-person seated exams and quizzes to ensure that students do not use AI unless the course asks them to do so.
This course encourages students to explore the use of generative artificial intelligence (GAI) tools such as ChatGPT for all assignments and assessments.
Any such use must be appropriately acknowledged and cited.
We draw your attention to the fact that different classes at Harvard could implement different AI policies, and it is the student’s responsibility to conform to expectations for each course.
Cite AI contributions appropriately in research and academic work.
AI Tools cannot be listed as an author on a paper.
Before using any generative AI tools, ensure you're complying with Harvard’s data and security policies:
Avoid entering confidential information (Level 2 and above) into public-facing AI platforms.
Classify your data appropriately. Most AI tools are approved for Level 3 and below. For Level 4 or regulated data, contact hms-it-ai@hms.harvard.edu before proceeding.
Comply with regulations such as HIPAA, FERPA, and sponsor-specific data requirements.
You should not enter data classified as confidential (Level 2 and above), including non-public research data, into publicly-available generative AI tools, in accordance with the University’s Information Security Policy.
Responsible AI use at HMS includes ethical, transparent practices:
Verify outputs. AI-generated content may be incorrect or fabricated. Always fact-check before using or publishing results.
Uphold academic integrity. Follow faculty or student handbook policies. Be transparent with students and colleagues about acceptable use.
Cite AI contributions appropriately in research and academic work.
You should not enter data classified as confidential (Level 2 and above), including non-public research data, into publicly-available generative AI tools, in accordance with the University’s Information Security Policy.
AI Tools cannot be listed as an author on a paper.
Any such use must be appropriately acknowledged and cited.
Any such use must be appropriately acknowledged and cited.
Be transparent with students and colleagues about acceptable use.
Cite AI contributions appropriately in research and academic work.
Starting in Fall 2025, faculty can find Respondus, a new browser lockdown tool, on their Canvas site(s) to use for in-person seated exams and quizzes to ensure that students do not use AI unless the course asks them to do so.
Violations of this policy will be considered academic misconduct.
Violations of this policy will be considered academic misconduct.
Violations of this policy will be considered academic misconduct.
All faculty are required to inform students of the policies governing generative AI use in class.
More specifically, you should post your policy on your Canvas site.
Responsible AI use at HMS includes ethical, transparent practices:
Verify outputs. AI-generated content may be incorrect or fabricated. Always fact-check before using or publishing results.
Uphold academic integrity. Follow faculty or student handbook policies. Be transparent with students and colleagues about acceptable use.
Before using any generative AI tools, ensure you're complying with Harvard’s data and security policies:
Avoid entering confidential information (Level 2 and above) into public-facing AI platforms.
Classify your data appropriately. Most AI tools are approved for Level 3 and below. For Level 4 or regulated data, contact hms-it-ai@hms.harvard.edu before proceeding.
You should not enter data classified as confidential (Level 2 and above), including non-public research data, into publicly-available generative AI tools, in accordance with the University’s Information Security Policy.
Level 3 data and below can be used with the following tools:
Harvard AI Sandbox
OpenAI ChatGPT Edu
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.
Harvard University has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
Harvard FAS instructor guidance provides sample course policies stating that when AI use is allowed, it must be acknowledged and cited. HMS IT guidance similarly recommends citing AI contributions appropriately in research and academic work and calls for transparency with students and colleagues about acceptable use.
Harvard FAS instructor guidance notes availability of Respondus as a browser lockdown tool for in-person seated exams and quizzes to ensure students do not use AI unless the course asks them to. The sample AI syllabus policies provided state that violations of the course AI policy will be considered academic misconduct.
HMS IT guidance instructs users to comply with Harvard data/security policies before using generative AI, including avoiding entry of confidential information into public-facing AI platforms, classifying data, and seeking review/permission before using Level 4 or regulated data. HMS academic/research integrity guidance similarly states confidential (Level 2 and above) data (including non-public research data) should not be entered into publicly-available generative AI tools, and lists tools it states can be used for Level 3 and below (including Harvard AI Sandbox and OpenAI ChatGPT Edu).
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