Record revision

University of California, Berkeley (UCB)

Updates to this site's reviewed record, not confirmation that the university changed its policy.

Tracker publication time is not a university policy effective date.

Revision: berkeley-v6-r3-20261017 ·

Previous recorded revision: baseline-berkeley-v6-20261017

What this record update means

Structured record overview

Records involved: 44 (30 corrected / adjusted · 14 added)

Approved tools · Other records · 8 more topics

No independently reviewed summary is available for this revision yet.

This is a historical record summary, not confirmation of current permission or a new university rule.

Coursework · Records involved: 5 (4 corrected / adjusted · 1 added)

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The UC Berkeley Academic Senate recommends that all faculty include a clear statement on their syllabus about course expectations regarding the use of Google Gemini or any other generative AI tool for course-related work. In the absence of such a statement, students may be more likely to use these technologies inappropriately.

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The UC Berkeley Academic Senate recommends that all faculty include a clear statement on their syllabus about course expectations regarding the use of Google Gemini or any other generative AI tool for course-related work. In the absence of such a statement, students may be more likely to use these technologies inappropriately.

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The UC Berkeley Academic Senate provides three sample syllabus statement frameworks for faculty: 'Full AI' (GenAI required), 'Some AI' (limited permitted use with restrictions), and 'No AI' (all GenAI use prohibited). Faculty should modify these to fit their course requirements.

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The UC Berkeley Academic Senate provides three sample syllabus statement frameworks for faculty: 'Full AI' (GenAI required), 'Some AI' (limited permitted use with restrictions), and 'No AI' (all GenAI use prohibited). Faculty should modify these to fit their course requirements.

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UC Berkeley prohibits the use of generative AI tools to complete academic work in a manner not allowed by the instructor.

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UC Berkeley prohibits the use of generative AI tools to complete academic work in a manner not allowed by the instructor.

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UC Berkeley requires that any new use of generative AI in studies or work must receive approval from the instructor or responsible unit head, and users should complete the AI Essentials Training and consult the CERC-AIR committee.

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UC Berkeley requires that any new use of generative AI in studies or work must receive approval from the instructor or responsible unit head, and users should complete the AI Essentials Training and consult the CERC-AIR committee.

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Appendix II of the Student Conduct Code defines cheating to include fraud, deceit, or dishonesty in an academic assignment, or using, attempting to use, or assisting others in using materials that are prohibited or inappropriate for the assignment.

Exams · Records involved: 1 (1 corrected / adjusted)

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The UC Berkeley Academic Senate recommends that for assignments where GenAI is not permitted, instructors should adopt enforcement mechanisms such as in-person proctored exams, an additional oral exam component, or a written statement of academic integrity, since no validated GenAI detection tools exist.

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The UC Berkeley Academic Senate recommends that for assignments where GenAI is not permitted, instructors should adopt enforcement mechanisms such as in-person proctored exams, an additional oral exam component, or a written statement of academic integrity, since no validated GenAI detection tools exist.

Disclosure · Records involved: 2 (1 corrected / adjusted · 1 added)

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The UC Berkeley Academic Senate's 'Some AI' syllabus framework requires students to include an acknowledgement of their use of any generative AI system in submitted work, along with the prompts used and how the output was utilized.

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The Academic Senate provides a sample "Some AI" syllabus framework that instructors may adopt, which illustrates asking students to acknowledge AI tools and describe their use on permitted assignments; this is an optional instructor framework, not a mandatory university-wide mandate.

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Researchers should disclose generative AI use in research reports, manuscripts, and publications where appropriate (identifying platform/version, scope, purpose, and human verification), and follow funding agency disclosure requirements for grant proposals.

Data safety · Records involved: 4 (3 corrected / adjusted · 1 added)

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At UC Berkeley, publicly-available information classified as Protection Level P1 may be freely used in generative AI tools.

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At UC Berkeley, publicly-available information classified as Protection Level P1 may be freely used in generative AI tools.

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UC Berkeley prohibits entering personal, confidential, proprietary, or otherwise sensitive information classified as Protection Level P2, P3, or P4 into generative AI tools, unless specifically allowed under UC's negotiated contracts with AI providers.

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UC Berkeley prohibits entering personal, confidential, proprietary, or otherwise sensitive information classified as Protection Level P2, P3, or P4 into generative AI tools, unless specifically allowed under UC's negotiated contracts with AI providers.

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UC Berkeley prohibits entering FERPA-protected student records, non-public instructional materials, and proprietary or unpublished research into generative AI tools.

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UC Berkeley prohibits entering FERPA-protected student records, non-public instructional materials, and proprietary or unpublished research into generative AI tools, except where specific institutional agreements or university-licensed tools explicitly permit it under approved data protection levels.

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Instructors are advised not to upload student materials to third parties without an institutional MOU due to student privacy concerns; UC Berkeley currently has no agreement with any third-party AI detection tools.

Approved tools · Records involved: 8 (8 corrected / adjusted)

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Firefly, Adobe Creative Cloud is listed for University of California, Berkeley (UCB) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

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Adobe Firefly is licensed for Berkeley students and employees through Adobe Creative Cloud via CalNet, permitted for public Protection Level P1 information only.

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ChatGPT Edu is listed for University of California, Berkeley (UCB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

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ChatGPT Edu is available through UC Berkeley licensing for employees and eligible student employees (18+) via CalNet authentication, with Protection Level P3 data support; access requires a Berkeley license request and is a recharge service, not open to general undergraduates.

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Google Gemini App is listed for University of California, Berkeley (UCB) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

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Google Gemini App is licensed for UC Berkeley students and employees via CalNet authentication, with Protection Level P3 data support; recharge is not required.

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Google AI Pro is listed for University of California, Berkeley (UCB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

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Google AI Pro is embedded in Google Workspace for employees and eligible student employees (18+) as a recharge service with Protection Level P3 support; it is not accessible to general students.

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BearGPT is listed for University of California, Berkeley (UCB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

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BearGPT is an enterprise assistant available to UC Berkeley employees and student employees (18+) via CalNet, supporting up to Protection Level P2 data; it is not generally open to all students.

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Campus AI Sandbox (Beta) is listed for University of California, Berkeley (UCB) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

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Campus AI Sandbox (Beta) provides Protection Level P3 support for administrative and academic pilots, limited to employees, student employees, and students enrolled in Engineering or Haas Business School; it is not an all-student service or automatic exam permission.

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Microsoft Copilot is listed for University of California, Berkeley (UCB) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

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Microsoft Copilot is licensed for UC Berkeley students and employees via CalNet authentication, supporting Protection Level P2 data; recharge is not required.

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Zoom AI Companion is listed for University of California, Berkeley (UCB) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

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Zoom AI Companion is licensed for Berkeley students and employees, supporting Protection Level P3 data for meetings and lectures.

Research & publication · Records involved: 5 (1 corrected / adjusted · 4 added)

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UC Berkeley requires researchers to comply with varying license agreement terms before using or training AI tools with materials acquired from library-licensed resources or databases. Violations can result in personal liability and campus-wide loss of access to critical research resources.

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UC Berkeley requires researchers to comply with varying license agreement terms before using or training AI tools with materials acquired from library-licensed resources or databases. Violations can result in personal liability and campus-wide loss of access to critical research resources.

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UC Berkeley research policy holds researchers responsible for all aspects of their research, including work assisted or generated by artificial intelligence.

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A finding of research misconduct under UC Berkeley policy requires establishing three criteria: a significant departure from accepted practices of the relevant research community, committed intentionally, knowingly, or recklessly, proven by a preponderance of the evidence.

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All collected data, evidence, records, and reports from research misconduct proceedings must be securely maintained for seven (7) years following completion, unless transferred to a research sponsor or released by ORI.

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Effective January 1, 2026, the UC Berkeley Research Misconduct Policy governs allegations of research misconduct through three standardized stages: assessment, inquiry, and investigation.

Academic integrity · Records involved: 6 (6 added)

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The Graduate Division defines graduate student academic misconduct as distinct from research misconduct (reported through the Vice Chancellor’s Office for Research) and general behavioral misconduct (reported through the Center for Student Conduct).

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Under the Graduate Student Academic Misconduct Policy, students have the right to appeal within 10 days of receiving the hearing committee’s decision based on new evidence or significant procedural error.

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The Graduate Student Academic Misconduct Policy establishes two resolution phases (early resolution and committee-led investigation) evaluated under the preponderance of the evidence standard (51% likelihood), with a presumption of non-responsibility throughout the process.

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The Berkeley Campus Code of Student Conduct, revised July 1, 2026, implements PACAOS 100.00 for incidents on or after July 1, 2026, and revised Appendix H for written notices issued on or after July 1, 2026.

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Under Section 102.01 of the Berkeley Campus Code of Student Conduct, academic misconduct includes cheating, fabrication, plagiarism, or facilitating academic dishonesty.

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Under the Berkeley Campus Code of Student Conduct, written appeals must be submitted within 10 days of the Administrative Resolution Letter (or within 5 days for intent to appeal and 10 days for appeal if separation status is involved); sanctions are deferred during a timely appeal.

Teaching guidance · Records involved: 3 (2 corrected / adjusted · 1 added)

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The UC Berkeley Academic Senate states that generative AI detection tools are increasingly less accurate and that there are no validated generative AI detection tools available.

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The UC Berkeley Academic Senate states that generative AI detection tools are increasingly less accurate and that there are no validated generative AI detection tools available.

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The UC Berkeley Academic Senate advises that for assignments where instructors encourage or require GenAI tools, instructors must ensure students have access to the necessary computing resources. If non-campus-sanctioned resources are required, the instructor is responsible for providing access.

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The Academic Senate advises that when instructors encourage or require GenAI tools, they should ensure students have access to the necessary computing resources, and provide access if non-campus-sanctioned tools are required.

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UC Berkeley has not enabled Turnitin's AI writing and paraphrasing detection feature in bCourses for general use, citing pilot findings that algorithm-based AI detection does not provide conclusive evidence.

Security and procurement · Records involved: 5 (5 corrected / adjusted)

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UC Berkeley warns that individuals who accept click-through agreements for AI tools (such as OpenAI and ChatGPT terms of use) without delegated signature authority may face personal liability, including responsibility for compliance with terms and conditions.

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UC Berkeley warns that individuals who accept click-through agreements for AI tools (such as OpenAI and ChatGPT terms of use) without delegated signature authority may face personal liability, including responsibility for compliance with terms and conditions.

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UC Berkeley states that units offering AI tools separately from campus or systemwide agreements should clearly advise staff and users of the appropriate use and Protection Level limitations of those tools.

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UC Berkeley states that units offering AI tools separately from campus or systemwide agreements should clearly advise staff and users of the appropriate use and Protection Level limitations of those tools.

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UC Berkeley has AI risk assessment pre-screening questions that employees can use to gauge the level of risk involved for an AI use case where AI is integrated into a product, service, or feature at the university. Depending on the risk level determined, the CERC-AIR subcommittee may be engaged for a broader risk assessment.

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UC Berkeley has AI risk assessment pre-screening questions that employees can use to gauge the level of risk involved for an AI use case where AI is integrated into a product, service, or feature at the university. Depending on the risk level determined, the CERC-AIR subcommittee may be engaged for a broader risk assessment.

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UC Berkeley requires users to use UC-licensed AI tools rather than individual consumer accounts to benefit from UC's contractual data protections when working with information more sensitive than Protection Level P1.

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UC Berkeley requires users to use UC-licensed AI tools rather than individual consumer accounts to benefit from UC's contractual data protections when working with information more sensitive than Protection Level P1.

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At UC Berkeley, AI tools procured by individual units must adhere to the approved Protection Level limitations advised by that unit, and units should clearly advise staff and users of the appropriate use and Protection Level limitations of their AI tools.

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At UC Berkeley, AI tools procured by individual units must adhere to the approved Protection Level limitations advised by that unit, and units should clearly advise staff and users of the appropriate use and Protection Level limitations of their AI tools.

Other records · Records involved: 5 (5 corrected / adjusted)

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UC Berkeley's Office of Ethics, Risk and Compliance provides centralized resources and guidance on the ethical and appropriate use of artificial intelligence, specifically generative AI, with a focus on privacy and compliance with existing laws and policies.

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UC Berkeley's Office of Ethics, Risk and Compliance provides centralized resources and guidance on the ethical and appropriate use of artificial intelligence, specifically generative AI, with a focus on privacy and compliance with existing laws and policies.

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UC Berkeley states that use of generative AI tools should be consistent with UC Berkeley's Principles of Community and the UC Principles of Responsible AI.

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UC Berkeley states that use of generative AI tools should be consistent with UC Berkeley's Principles of Community and the UC Principles of Responsible AI.

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UC Berkeley offers an 'AI Essentials' training for employees — a approximately 30-minute course covering foundational AI concepts, UC policies regarding AI tool usage, and opportunities for application in higher education.

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UC Berkeley offers an 'AI Essentials' training for employees — a approximately 30-minute course covering foundational AI concepts, UC policies regarding AI tool usage, and opportunities for application in higher education.

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The University of California system has established Responsible AI Principles comprising eight principles: Appropriateness; Transparency; Accuracy, Reliability and Safety; Fairness and Non-Discrimination; Privacy and Security; Human Values; Shared Benefit and Prosperity; and Accountability.

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The University of California system has established Responsible AI Principles comprising eight principles: Appropriateness; Transparency; Accuracy, Reliability and Safety; Fairness and Non-Discrimination; Privacy and Security; Human Values; Shared Benefit and Prosperity; and Accountability.

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UC Berkeley warns that AI use involving highly-consequential automated decision-making requires extreme caution and should not be employed without prior consultation with appropriate campus entities including the responsible unit head. Examples include legal analysis, recruitment/personnel decisions, replacing represented employees, facial recognition security tools, and grading or assessment of student work.

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UC Berkeley warns that AI use involving highly-consequential automated decision-making requires extreme caution and should not be employed without prior consultation with appropriate campus entities including the responsible unit head. Examples include legal analysis, recruitment/personnel decisions, replacing represented employees, facial recognition security tools, and grading or assessment of student work.

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