Bard College Berlin AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
58%7 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.
Strategy Set
Governance
A formal AI governance strategy or institutional framework has been defined.
POLICY OVERVIEW

AI Policy Summary

Bard College Berlin has defined AI policies across 7 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. 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 Prohibited
  • For enrolled students, submitting academic work obtained from AI platforms for an assignment is treated as cheating and is prohibited
  • Separately, Bard College Berlin states in admissions guidance that applicants should write their own application responses and that generative AI undermines the purpose of the graded writing sample

4. Cheating: the attempt to deceive by gaining or providing unauthorized advantage or assistance in a College examination or assignment, including attempts to copy from other students in an examination, communicating answers with another student in an examination, the use of unauthorized materials or information and prepared answers in an examination, impersonation (taking an examination on behalf of another or having someone take an examination on one’s own behalf), and the submission of academic work acquired from another student, AI platforms, or via essay mills and other such commercial enterprises providing writing services

Bard College Berlin requests writing samples from applicants because we are interested in knowing how you engage with texts, develop your own analysis and arguments, and convey your thoughts on a particular topic or idea. Using generative AI undermines this process. The BCB Admissions Committee takes the time to read the writing in your application thoroughly - please take the time to reflect on the prompts in the application and write your own responses.

U2Examinations & Assessments
AI Prohibited in Exams
  • Use of AI platforms to submit academic work in examinations is prohibited as cheating
  • The handbook places AI platforms alongside other unauthorized means of gaining advantage in examinations and assignments

4. Cheating: the attempt to deceive by gaining or providing unauthorized advantage or assistance in a College examination or assignment, including attempts to copy from other students in an examination, communicating answers with another student in an examination, the use of unauthorized materials or information and prepared answers in an examination, impersonation (taking an examination on behalf of another or having someone take an examination on one’s own behalf), and the submission of academic work acquired from another student, AI platforms, or via essay mills and other such commercial enterprises providing writing services

U3Learning & Study Assistance
Guidelines Issued
  • The university does not set a current binding rule here in the provided sources
  • It states that it is working to establish informed guidelines and a nuanced policy on ethical AI use, including responsible use in the student handbook

Generative artificial intelligence is reshaping education and Bard College Berlin is working to address this growing influence through the AI Aware Universities project . Led by the Center for Information, Democracy, and Citizenship (CIDC) at the American University in Bulgaria , the initiative unites five European universities to examine AI’s impact on academia and establish informed guidelines for its use.

“The idea is to give students a chance to talk about how generative AI is being used in well-meaning ways. And then, to figure out how it can be ethically applied in our context,” explains Dr. Jeffrey Champlin , the coordinator of this project at BCB.

The discussion will focus on defining responsible AI use and drafting an updated AI policy for the student handbook. “The proposed policy is ultimately for the faculty to review. Our goal is to produce and propose something that is more nuanced than a blanket ban, and would likely include an appendix outlining acceptable uses of AI,” Champlin explained.

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
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No policy defined yet
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 give a specific AI citation format or AI-specific disclosure statement requirement
  • The handbook requires appropriate attribution and citation for the words or work of others, and says students should consult advisors or instructors if unsure what counts as plagiarism or academic misconduct

1. Plagiarism: The presentation of the work or words of another as one’s own, without appropriate attribution and/or citation, whether intentional or not. Plagiarism includes:

a. The attempt to pass off the work of others as one’s own

b. Presenting the exact words of others as one’s own

c. Presenting the exact words or paraphrasing borrowings from other sources without appropriate attribution and/or citation

2. Collusion: The collaboration by two or more students on an assignment without appropriate attribution or authorisation. Providing one’s own work to someone else to copy or copying work provided by another, whether wholly or in part, is collusion

3. Resubmission of one’s own work: The re-use of one’s own work (whether wholly or in part) for another assignment without appropriate attribution. Work that a student has published or completed outwith their study at the College must also be appropriately cited

If a student is in any way uncertain about what constitutes plagiarism or any of the above acts of academic misconduct, they should consult their academic advisors or course instructors.

U9Detection & Enforcement
Detection Tools UsedPenalties DefinedIntegrity Process
  • No AI detection tool policy is stated in the provided sources
  • Undisclosed submission of academic work acquired from AI platforms is handled through the academic misconduct process
  • Any community member may report an alleged violation, faculty must file an Academic Integrity Incident Report even if they resolve the matter themselves, and the Academic Integrity Board can impose penalties up to failing grades and an FX on the transcript

Acts of academic misconduct, such as the following, will result in a disciplinary process and lead to outcomes:

4. Cheating: the attempt to deceive by gaining or providing unauthorized advantage or assistance in a College examination or assignment, including attempts to copy from other students in an examination, communicating answers with another student in an examination, the use of unauthorized materials or information and prepared answers in an examination, impersonation (taking an examination on behalf of another or having someone take an examination on one’s own behalf), and the submission of academic work acquired from another student, AI platforms, or via essay mills and other such commercial enterprises providing writing services

1. Incident Report

a. Any member of the Bard College Berlin community may submit a written report documenting a concern about a situation or student regarding an alleged violation of policy. Reports should be submitted electronically via the Academic Integrity Incident webpage. When possible, reports should be submitted within 30 days of the discovery of the alleged violation.

b. Faculty are required to submit an Academic Integrity Incident Report even if the matter is resolved by faculty themselves.

Outcomes:

1. Letter of Warning - A Letter of Warning is a written warning for a minor violation. A warning indicates that the offending behavior must cease and further violations may result in additional disciplinary measures.

2. F or Zero grade issued for the assignment.

3. F or Zero grade issued for the class.

4. An FX (Failure due to academic dishonesty) noted on the transcript.

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Institutional & Administrative

U10Faculty & Staff Use
Staff GuidelinesTraining Available
  • The sources also describe faculty participation in workshops about assignments and ethical AI use
  • The provided sources do not set a current operational rule for faculty or staff use of AI, but they do state that faculty are involved in reviewing a proposed updated AI policy

The proposed policy is ultimately for the faculty to review. Our goal is to produce and propose something that is more nuanced than a blanket ban, and would likely include an appendix outlining acceptable uses of AI

In this workshop, we’ll think about the goals of coursework and grading and what ways, if any, they are different in light of advancements in AI. BCB faculty will give short presentations on their goals for assignments. Student-led groups will then develop an AI-aware assignment that reflects the shared values of the group on learning and assessment. We look forward to thinking about what an ethical use of AI would look like from both faculty and student sides.

U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
AI Strategy Defined
  • Bard College Berlin is developing an institutional AI approach through the AI Aware Universities project
  • The stated strategy is to examine AI’s impact on academia, create informed guidelines, and draft an updated student-handbook policy that is intended to be more nuanced than a blanket ban and may include acceptable uses of AI

Generative artificial intelligence is reshaping education and Bard College Berlin is working to address this growing influence through the AI Aware Universities project . Led by the Center for Information, Democracy, and Citizenship (CIDC) at the American University in Bulgaria , the initiative unites five European universities to examine AI’s impact on academia and establish informed guidelines for its use.

Through collaborative events and thoughtful discussions, the AI Aware Universities initiative at BCB is set to play a meaningful role in ensuring that upcoming technological advancements support—rather than undermine—academic integrity and intellectual curiosity.

Together with the American University of Bulgaria and other partners, this fall Bard College Berlin hosts the program AI Aware Universities: Empowering University Communities for The Ethical Use of AI. This series of lectures and student-led discussions aims to create a common playbook for developing a strategy for the ethical use of Generative AI in academic spaces.

The discussion will focus on defining responsible AI use and drafting an updated AI policy for the student handbook. “The proposed policy is ultimately for the faculty to review. Our goal is to produce and propose something that is more nuanced than a blanket ban, and would likely include an appendix outlining acceptable uses of AI,” Champlin explained.

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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