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UC Berkeley updates AI rules, banning use on exams and most credit work

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Why it matters

UC Berkeley has implemented a campus-wide policy restricting generative AI use in academic settings, with explicit prohibitions on AI assistance during exams and in conceptualizing, outlining, drafting, revising, translating, or editing any work submitted for credit. Students are also barred from uploading course materials—including assignments, readings, slides, and class recordings—into generative AI systems. The policy permits limited AI use only for identifying research sources, though students remain responsible for citation accuracy and must avoid fabricated references. The Office of Ethics, Risk and Compliance Services and UC Berkeley Law have jointly developed the guidance, which also warns against entering confidential, proprietary, export-controlled, or personally identifiable information into public AI tools. Individual instructors may adopt different rules only with written notice and explicit student disclosure of authorized AI use.

The full scope of Berkeley's enforcement mechanisms and any penalties for violations remain unclear. The extent to which the policy will be monitored across the campus's numerous schools and departments has not been detailed.

The policy matters because Berkeley is among the first major research universities to draw explicit boundaries around classroom AI use at a moment when most campuses are still developing governance frameworks. For attorneys advising educational institutions, the specificity of Berkeley's approach—particularly its bright-line rules on exams and submitted work—provides a template for institutional policies that balance academic integrity with practical AI literacy. As generative AI tools proliferate, universities face mounting pressure to clarify permissible use before misuse becomes entrenched. Berkeley's framework also highlights emerging institutional risk concerns around data privacy and security, issues that extend beyond academic integrity into compliance and operational governance.

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