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University of California, Berkeley (UCB) currently has 22 source-backed claim records and 5 official source attributions. Latest tracked changed date: May 6, 2026. No tracker diff rows are recorded in the latest public release.
This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
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No tracker claim/evidence/source changes are recorded for this university in the latest public release.
22 claim records
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.
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.
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.
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.
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.
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.
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.
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.
At UC Berkeley, publicly-available information classified as Protection Level P1 may be freely used in generative AI tools.
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.
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.
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.
UC Berkeley prohibits the use of generative AI tools to complete academic work in a manner not allowed by the instructor.
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.
UC Berkeley prohibits entering FERPA-protected student records, non-public instructional materials, and proprietary or unpublished research into generative AI tools.
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.
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.
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.
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.
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.
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.
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.
5 source attributions
official_guidance Tracker checked at May 6, 2026, 4:55 AM
official_guidance Tracker checked at May 6, 2026, 4:55 AM
official_pdf Tracker checked at May 6, 2026, 4:55 AM
official_guidance Tracker checked at May 6, 2026, 4:55 AM
official_pdf Tracker checked at May 6, 2026, 4:55 AM