Guidance on the Use of Generative AI and Large Language Model Tools
Caltech provides this initial guidance to encourage the responsible use of generative artificial intelligence (GenAI) and large language model (LLM) tools and technologies, such as OpenAI's ChatGPT and Dall-E and Google's Bard in research, education, and administrative work at Caltech.
As a research and education institute, committed to advancing the frontiers of science and engineering and expanding knowledge, we support a responsible, measured experimentation with and use of new technologies. While doing this, however, Caltech requires that you follow all existing applicable regulations and Institute policies. These include, but are not limited to, ensuring protection of confidential, personal, or business information and intellectual property, and adherence to the honor code, course requirements, research integrity, and publication ethics.知识产权IP & copyright
What You Need to Know
- You may use GenAI tools at Caltech, but you must protect Caltech data.默认规则Default rule
- Do not enter any restricted or confidential Caltech information into consumer AI tools (ChatGPT Free/Plus, Gemini, Claude, Perplexity, etc.). Examples include data covered by FERPA and HIPAA, student data, intellectual property and unpublished research, export-controlled data, sensitive human-resources, business and finance data, and information created, received, stored, or processed as part of academic, research, or administrative activities.
- For Caltech business, use only Caltech-managed, contract-approved, or SSO-protected AI tools.机构工具Institutional tools
Guiding Principles
As you use GenAI and LLM technologies in your work at Caltech, we ask that you apply these four guiding principles to your practice: disclosure, data and information protection, content responsibility, and Caltech's honor code.
- Disclosure: When using GenAI, always disclose promptly, or reference the use of GenAI tools and application plug-ins, as applicable. This transparent disclosure ensures that others are aware when GenAI was used to generate content披露要求Disclosure and reduces misunderstandings regarding the source of information, potentially limiting claims of academic dishonesty or plagiarism. When using GenAI to write or publish, please make sure to follow the guidance provided by the course instructor or journal or manuscript publisher/editor.课程规则优先Instructor override
- Data and Information Protection: Federal, state, and local laws as well as Caltech policies may limit data that can be disclosed. Unless you are using a GenAI application that explicitly guarantees data separation and confidentiality, uploading information into GenAI tools should be considered a public disclosure.数据与隐私Data & privacy摘录Excerpt
- Content Responsibility: Remember that GenAI systems are fallible. Responses can be inaccurate, misleading, and even entirely fabricated. Therefore, you should always review and assess all output generated by GenAI tools for accuracy before relying on them or distributing them publicly.核实责任Verification duty
- Honor Code: Caltech's honor code underscores the importance of ethical conduct and fairness and extends to the use of GenAI tools and is stated as follows: “No member of the Caltech community shall take unfair advantage of any other member of the Caltech community.”违规定性Integrity framing
The Institute's guidance promotes responsible and ethical use of GenAI and LLM tools at Caltech, and fosters a community that values transparency, integrity, privacy, accuracy, and fairness.
以下为整理者所写的高中适用要点,非该校原文,不作为任何条款的依据。Below: the collector’s notes on application to high school — not the university’s text, and not used as evidence for any provision.
High-school adaptation takeaways
- Make disclosure, data protection, content responsibility, and academic honor the four core pillars.
- Treat uploading to a public AI service as public disclosure unless the school has verified contractual privacy protections.
- Students must verify AI output before relying on or sharing it.
- Existing academic-integrity, privacy, intellectual-property, and course rules continue to apply when AI is used.