University of California, Berkeley (UCB)

Certain generative AI tools use click-through agreements. Click-through agreements, including OpenAI and ChatGPT terms of use, are contracts. Individuals who accept click-through agreements without delegated signature authority may face personal consequences, including responsibility for compliance with terms and conditions.

Source language

English (en)

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53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Personal Liability subsection under Additional Consultation Needed

Before using or training AI tools with materials acquired from Library-licensed resources or databases, researchers must comply with varying license agreement terms. Violations can result in personal liability and campus-wide loss of access to critical research resources.

Source language

English (en)

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53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Using AI with Library Digital Resources subsection

In all cases, use should be consistent with UC Berkeley's Principles of Community and the UC Principles of Responsible AI.

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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About Generative AI Tools section, opening paragraph

We recommend that all faculty include a clear statement on their syllabus about course expectations regarding the use of Google Gemini or any other GenAI tool for course-related work. In the absence of such a statement, students may be more likely to use these technologies inappropriately or fail to utilize them effectively as a learning tool.

Source language

English (en)

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c6786c3515412e68fd1dbf47435e92fe1b5fed2fccb8e2d0e73b2fb44ea3ff9b

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Opening letter from the Berkeley Division of the Academic Senate

GenAI detection tools are increasingly less accurate; there are no validated GenAI detection tools.

Source language

English (en)

Snapshot hash

c6786c3515412e68fd1dbf47435e92fe1b5fed2fccb8e2d0e73b2fb44ea3ff9b

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Section III: Implementation Details, Policy Enforcement Mechanisms

We provide three sample statements. Instructors should modify them to fit their course requirements. The three statements include the two extremes, with the most and least GenAI use. We also include a third option that is approximately in the middle between the two.

Source language

English (en)

Snapshot hash

c6786c3515412e68fd1dbf47435e92fe1b5fed2fccb8e2d0e73b2fb44ea3ff9b

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Section II: Sample Syllabus Statements, introduction

GenAI detection tools are increasingly less accurate; there are no validated GenAI detection tools. Therefore, assignments or learning activities where GenAI is not permitted should consider adopting one or more of the following solutions: Written Statement of Academic Integrity; In-person proctored exams/activities; An additional interview component (or oral exam) to an assignment where students are graded on an explanation of their work.

Source language

English (en)

Snapshot hash

c6786c3515412e68fd1dbf47435e92fe1b5fed2fccb8e2d0e73b2fb44ea3ff9b

Evidence locator

Section III: Implementation Details, Policy Enforcement Mechanisms

When assignments in the course permit or incorporate the use of GenAI tools, the assignment will ask you to include an acknowledgement of your use of any type of GenAI in your submitted work and share the prompts and outputs utilized at the time of submission. The suggested format is as follows: I acknowledge the use of [insert AI system(s) and link] to [specific use of GenAI]. The prompts used include [list of prompts]. The output from these prompts was used to [explain the use].

Source language

English (en)

Snapshot hash

c6786c3515412e68fd1dbf47435e92fe1b5fed2fccb8e2d0e73b2fb44ea3ff9b

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Section II: Sample Syllabus Statements, 'Some AI' permitted use cases

Publicly-available information (Protection Level P1) can be used in generative AI tools.

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Allowable Use by Data Classification section

For any assignments where the instructor encourages or requires the use of GenAI tools, instructors should ensure that students have access to the necessary computing resources to run those GenAI tools. If non-campus-sanctioned resources are required, it is the instructor's responsibility to provide access to those resources.

Source language

English (en)

Snapshot hash

c6786c3515412e68fd1dbf47435e92fe1b5fed2fccb8e2d0e73b2fb44ea3ff9b

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Section III: Implementation Details, Required Access to GenAI Tools

UC has license agreements for certain AI tools, which provide protection for use with more sensitive information. It is important to be sure you are using licensed tools, rather than individual consumer accounts, to benefit from UC's contractual protections.

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Allowable Use by Data Classification section

Use of AI tools procured by units separately from the campus or systemwide agreements mentioned above must also adhere to the approved Protection Level limitations advised by the unit to ensure compliance with the agreement and appropriate protections relative to the safety features of the tool. Units offering such tools should clearly advise staff and users as to the appropriate use and Protection Level limitations of the AI (and all) tools that they offer.

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Allowable Use by Data Classification section

Completion of academic work in a manner not allowed by the instructor.

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Prohibited Use section

Unless specifically stated in the 'Allowable Use' section above, no personal, confidential, proprietary, or otherwise sensitive information may be entered into or generated as output from models or prompts. Such information includes: Student records subject to FERPA, Non-public instructional materials, Proprietary or unpublished research, Any other information classified as Protection Level P2, P3, or P4 (unless specifically allowed under UC's contracts).

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Prohibited Use section

Such information includes: Student records subject to FERPA; Non-public instructional materials; Proprietary or unpublished research.

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Prohibited Use section

If you are considering a new use of Generative AI in your studies or work, it is your responsibility to consider the ethics and risks involved and obtain approval from your instructor/responsible unit head. Be sure to take the AI Essentials Training and consult CERC-AIR, a committee that assesses and offers guidance for mitigating AI risks.

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Additional Consultation Needed section

Use of AI that involves 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, as such use could put the University and individuals as significant risk. Examples include, but are not limited to: Legal analysis or advice; Recruitment, personnel, or disciplinary decision-making; Seeking to replace work currently done by represented employees; Security tools using facial recognition; Grading or assessment of student work.

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Additional Consultation Needed section

The Office of Ethics, Risk and Compliance is providing resources and guidance about how to use artificial intelligence (AI), specifically generative AI, in an ethical and appropriate manner. This page will help guide you to available tools with a focus on privacy and compliance with existing laws and policies.

Source language

English (en)

Snapshot hash

5c102cb9aa4fc0297302db4905d56a4b2b4bb279703db075a3cbedd4a025c4dc

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Main body text of the AI landing page

Units offering such tools should clearly advise staff and users as to the appropriate use and Protection Level limitations of the AI (and all) tools that they offer. Units are encouraged to use and refer people to the campus Data Classification Standard and Guidelines for assistance with determining the Protection Level of data being contemplated for use in unit-provided AI tools.

Source language

English (en)

Snapshot hash

53fb3a36f07d32da35583cf1daae65c4be93b999fd5fb8804fe292d571dd5076

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Allowable Use by Data Classification section

UC Berkeley AI Essentials — ~30-minute employee training covering foundational AI concepts, UC policies regarding the usage of AI tools, and opportunities for application in higher ed. Authentication required.

Source language

English (en)

Snapshot hash

2bf26ddd14aad49a54c68a5cc18bca60e80b2299496a508d8d24a1846dbeaa37

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UC Berkeley AI Essentials section on the guidance page

UC has several AI principles: Appropriateness; Transparency; Accuracy, Reliability and Safety; Fairness and Non-Discrimination; Privacy and Security; Human Values; Shared Benefit and Prosperity; and Accountability.

Source language

English (en)

Snapshot hash

fe63cb6b7f4325b31394cfb5c0f6a26ffdd6eb32d5c71b2e0c1a22537c83d6c3

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OL Play 2 section, referencing UC Berkeley's AI policy context

UC Berkeley also has AI risk assessment pre-screening questions that can be used by employees to gauge the level of risk involved for an AI use case (whereby AI is integrated into a product, service or feature at the university). Depending on the level of risk determined, a subcommittee may be engaged and the broader risk assessment conducted.

Source language

English (en)

Snapshot hash

fe63cb6b7f4325b31394cfb5c0f6a26ffdd6eb32d5c71b2e0c1a22537c83d6c3

Evidence locator

OL Play 2 section, Tools & Resources, referencing UC Berkeley's AI governance