Haverford College has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. 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.
At this point, Haverford has no plans for a top-down, blanket policy, says Benjamin Le, senior associate provost for academic affairs.
Rather than imposing a stringent policy, White says, the College continues to respect the autonomy of each department and individual faculty members to develop discipline-specific approaches to AI's place in their classrooms.
The result is a range of approaches, from required usage for some classes and assignments to outright bans—and everything in between.
Elsewhere on campus, Professor of Political Science Craig Borowiak allows his students to use AI to produce snapshots of the state of the field for short assignments—as long as they cite the prompts and the model used—but not for longer essays or exams, he says.
At this point, Haverford has no plans for a top-down, blanket policy, says Benjamin Le, senior associate provost for academic affairs.
Rather than imposing a stringent policy, White says, the College continues to respect the autonomy of each department and individual faculty members to develop discipline-specific approaches to AI's place in their classrooms.
Elsewhere on campus, Professor of Political Science Craig Borowiak allows his students to use AI to produce snapshots of the state of the field for short assignments—as long as they cite the prompts and the model used—but not for longer essays or exams, he says.
Meanwhile, Professor of Computer Science David G. Wonnacott permits students in his "Introduction to Computer Science" course to ask an AI assistant for help when they're stuck.
At this point, Haverford has no plans for a top-down, blanket policy, says Benjamin Le, senior associate provost for academic affairs.
Rather than imposing a stringent policy, White says, the College continues to respect the autonomy of each department and individual faculty members to develop discipline-specific approaches to AI's place in their classrooms.
Turning to teaching and learning, Friedler expressed her firm stance on students' use of large language models, which, she stressed, does not necessarily reflect the views of her colleagues. Outside of courses explicitly focused on AI, she does not allow students to use AI tools in their academic work.
Meanwhile, Professor of Computer Science David G. Wonnacott permits students in his "Introduction to Computer Science" course to ask an AI assistant for help when they're stuck.
On a Thursday afternoon in September, he spent the last 20 minutes of class demonstrating AI coding tools.
Until this semester, Wonnacott had banned the use of AI for assignments.
At this point, Haverford has no plans for a top-down, blanket policy, says Benjamin Le, senior associate provost for academic affairs.
Rather than imposing a stringent policy, White says, the College continues to respect the autonomy of each department and individual faculty members to develop discipline-specific approaches to AI's place in their classrooms.
Research misconduct means fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting research results.
Across this academic year, faculty, students, and staff are exploring AI's role in teaching, learning, research, and operations.
Professor of Chemistry Alexander Norquist and his student lab assistants regularly use machine learning to detect patterns in data and to augment understanding of experiments, he says, adding that the advent of large language models (LLMs), such as ChatGPT, offers another tool for advancing research into new materials.
Professor of Chemistry Alexander Norquist and his student lab assistants regularly use machine learning to detect patterns in data and to augment understanding of experiments, he says, adding that the advent of large language models (LLMs), such as ChatGPT, offers another tool for advancing research into new materials.
Across this academic year, faculty, students, and staff are exploring AI's role in teaching, learning, research, and operations.
Haverford College is committed to upholding the highest ethical standards in research and fostering an environment that promotes research integrity and the responsible conduct of research, discourages research misconduct, and deals promptly with allegations or evidence of possible research misconduct.[2]1
Research misconduct means fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting research results. Research misconduct does not include honest error or differences of opinion.
All institutional members are expected to conduct research with honesty, rigor, and transparency. Each institutional member is responsible for contributing to an organizational culture that establishes, maintains, and promotes research integrity and
Elsewhere on campus, Professor of Political Science Craig Borowiak allows his students to use AI to produce snapshots of the state of the field for short assignments—as long as they cite the prompts and the model used—but not for longer essays or exams, he says.
At this point, Haverford has no plans for a top-down, blanket policy, says Benjamin Le, senior associate provost for academic affairs.
Generations of Haverford College students have demonstrated an abiding commitment to the shared community values of trust, concern, and respect. Established in 1897, our Honor Code provides an overarching framework for students to confront peers who may fall short of these community values in their academic pursuits and/or social lives.
Breaches of community values are most often resolved through informal peer-to-peer confrontation or through an Honor Council proceeding.
At this point, Haverford has no plans for a top-down, blanket policy, says Benjamin Le, senior associate provost for academic affairs.
This academic year, the technology has increasingly taken center stage as the College launches various projects. They include a new Community of Practice focused on generative AI in pedagogy that Libraries and Instructional and Information Technology Services is organizing; a new faculty AI Working Group; and a Dec.
In addition, Haverford is offering faculty and staff AI Ready, a monthly webinar about leveraging generative AI developed by the Council for Independent Colleges.
Across this academic year, faculty, students, and staff are exploring AI's role in teaching, learning, research, and operations.
Alongside our colleagues at Bryn Mawr and Swarthmore, Haverford is engaged with the Council of Independent Colleges' AI Ready program, an opportunity for faculty and staff from liberal arts colleges to share resources and best practices.
The College also is piloting Amplify GenAI, an open-source platform out of Vanderbilt University that gives secure access to ChatGPT, Claude, Mistral, DeepSeek and other LLMs.
Damage to Confidentiality. Intentional or negligent distribution of restricted data to non-authorized audiences. Unauthorized access, possession, or distribution of data that are confidential under the College's Confidentiality Policy, regarding privacy or confidentiality of student, administrative, personnel, archival, or other records.
Users must follow all IITS procedures and recommendations related to the security of college equipment and data.
Employees must adhere to the Data Confidentiality Policy & Employee Confidentiality Statement.
At this point, Haverford has no plans for a top-down, blanket policy, says Benjamin Le, senior associate provost for academic affairs. Instead, the College is supporting a collaborative process, helmed by faculty and staff, that includes working groups, pilot programs, and community dialogue to develop guidance aligned with the College's core values.
This academic year, the technology has increasingly taken center stage as the College launches various projects. They include a new Community of Practice focused on generative AI in pedagogy that Libraries and Instructional and Information Technology Services is organizing; a new faculty AI Working Group; and a Dec.
What we're doing is guided by our values as a college around integrity, academic excellence, and ethical engagement with AI.
Ultimately, Provost White says, Haverford is looking to establish best practices, particularly the principled use of AI, and lead in this space.
Few technological advancements have spurred as much excitement and concern as the rise of artificial intelligence. From our classrooms to our living rooms, AI—especially large language models like ChatGPT—is quickly reshaping how we work, learn, and create. At Haverford, we are considering AI's influence and potential with the same core values that have guided our community for nearly two centuries: ethical engagement and critical inquiry.
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.
Haverford College has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
Haverford does not provide a college-wide disclosure rule in the provided sources. However, one faculty example requires students using AI for certain short assignments to cite both the prompts and the model used.
Haverford has no AI-specific detection tools or enforcement procedures defined in the provided sources. AI misuse in academic work would fall under the College's Honor Code framework, established in 1897, which governs academic integrity. Breaches are addressed through informal peer-to-peer confrontation or formal Honor Council proceedings; the Honor Code operates on a trust-based model without reference to specific AI detection software.
Haverford has identified Amplify GenAI, an open-source platform developed at Vanderbilt University, as an institutionally supported AI tool that provides secure access to multiple large language models including ChatGPT, Claude, Mistral, and DeepSeek. No separate AI-specific data-entry policy exists in the provided sources, but the College's Acceptable Use of Information Technology Policy imposes general confidentiality and data-security requirements on all users, prohibiting unauthorized access or distribution of restricted data and requiring adherence to IITS security procedures.
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