Teaching & Learning
- Students may use AI tools in coursework only when the instructor explicitly permits it
- The policy is course-level because instructors must state their expectations in the syllabus or assignment directions
- If AI use is not approved, using AI to complete assignments is treated as plagiarism and a violation of the academic honesty policy
Students are expected to complete all coursework independently, without unauthorized assistance, unless they have explicit approval from the instructor.
The use of AI tools to generate or complete assignments without instructor approval is considered plagiarism and a violation of Berklee Online's academic honesty policies.
AI usage may be course-specific. Faculty are encouraged to include AI policies in their syllabi and assignment instructions to clarify expectations for students.
- The available student policy discusses assignments and coursework generally, but does not define an exam-specific AI policy
- The provided sources do not state a separate university rule specifically addressing AI use during exams, quizzes, tests, or proctored assessments
not defined
- The university permits students to use AI for learning support such as brainstorming, studying, language help, and concept clarification
- Students remain responsible for understanding course material and must make sure any submitted work reflects their own knowledge and effort
Students may use AI tools for support in learning, brainstorming, studying, grammar, or clarifying concepts, unless otherwise stated by the instructor.
However, students are responsible for understanding and being able to explain the work they submit, regardless of how it was produced.
Research
- However, the provided sources do not define specific research-integrity rules for grant proposals, IRB materials, or ethics declarations
- The university states a general institutional commitment to ethical and transparent AI use, including concerns about privacy, bias, and accountability
At Berklee, our mission is to use AI and machine learning ethically, transparently, and inclusively to support creativity, learning, and innovation.
In addition, principles around privacy, bias, accountability, and sustainability must guide Berklee's use of AI and machine learning across all areas.
Academic Integrity
- When students use AI in work submitted for a course, they are required to be transparent about that use and may be asked to document it
- The policy says disclosure expectations may vary by instructor, who can require citations, process notes, or appended prompts and outputs
Transparency matters. If AI is used in any part of the work submitted for a course, students may be required to disclose how it was used.
Depending on the assignment, instructors may ask students to:
Cite the AI tool used
Describe the nature of the assistance
Include prompts or outputs as part of an appendix or process log
- The provided sources do not set out a separate AI-detection-tool policy
- Undisclosed or unauthorized AI use can be treated as academic misconduct under existing honesty rules
- Suspected misuse is handled through normal academic review, where instructors may request drafts or process evidence and refer cases to academic leadership if concerns remain
The use of AI tools to generate or complete assignments without instructor approval is considered plagiarism and a violation of Berklee Online's academic honesty policies.
Any use of AI that violates the academic honesty expectations of a course may be subject to academic review and disciplinary action under existing Berklee Online policies.
Instructors may request drafts, process notes, or revision history when concerns arise regarding the originality or authorship of student work. Suspected misuse may be referred to academic leadership for further review.
Institutional & Administrative
- Faculty are encouraged to set course-specific AI expectations in syllabi and assignment instructions
- The provided sources do not define detailed operational rules for grading, recommendation letters, or administrative communications
- At the institutional level, Berklee says faculty and staff should receive support and training to use AI effectively and responsibly
AI usage may be course-specific. Faculty are encouraged to include AI policies in their syllabi and assignment instructions to clarify expectations for students.
Berklee will support students, faculty, and staff in developing the knowledge and skills needed to effectively engage with AI and machine learning in their work and studies.
- The provided sources do not identify a list of approved AI platforms or a formal data-tier classification scheme
- The university also states that AI use should follow existing policies, agreements, and legal requirements and should use secure systems
- Berklee requires community members to protect privacy and confidentiality when using AI systems and says personal, academic, and proprietary information must be handled carefully
AI tools must be used in ways that protect privacy and confidentiality.
Berklee's use of AI and machine learning must protect the personal information, academic records, artistic works, and proprietary institutional data of our community.
These technologies should be implemented thoughtfully, using secure systems and in compliance with all relevant laws, regulations, and Berklee policies.
The use of AI and machine learning at Berklee must comply with applicable laws, Berklee's values and policies, and relevant collective bargaining and other agreements.
- The university also states that it will regularly review these principles as technology evolves
- Its guidance emphasizes human-centered use, privacy, fairness, sustainability, legal compliance, and community education
- Berklee has an institution-wide AI strategy framed around ethical, transparent, and inclusive use in support of creativity, learning, and innovation
At Berklee, our mission is to use AI and machine learning ethically, transparently, and inclusively to support creativity, learning, and innovation.
We believe AI and machine learning should enhance—not replace—human creativity, judgment, and connection.
In addition, principles around privacy, bias, accountability, and sustainability must guide Berklee's use of AI and machine learning across all areas.
Berklee's guiding principles for AI and machine learning will be reviewed and updated regularly to keep pace with new technological developments and emerging needs.
DocuMark: Responsible AI Use for Academic Integrity
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.
Common Questions About Berklee College of Music's AI Policies
Berklee College of Music has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
When students use AI in work submitted for a course, they are required to be transparent about that use and may be asked to document it. The policy says disclosure expectations may vary by instructor, who can require citations, process notes, or appended prompts and outputs.
Undisclosed or unauthorized AI use can be treated as academic misconduct under existing honesty rules. Suspected misuse is handled through normal academic review, where instructors may request drafts or process evidence and refer cases to academic leadership if concerns remain. The provided sources do not set out a separate AI-detection-tool policy.
Berklee requires community members to protect privacy and confidentiality when using AI systems and says personal, academic, and proprietary information must be handled carefully. The university also states that AI use should follow existing policies, agreements, and legal requirements and should use secure systems. The provided sources do not identify a list of approved AI platforms or a formal data-tier classification scheme.