Policy presence
California Institute of Technology (Caltech) has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Pasadena, United States
California Institute of Technology (Caltech)
California Institute of Technology (Caltech) has 9 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 9 reviewed claims. Last checked May 5, 2026.
California Institute of Technology (Caltech) AI policy short answer
v1 public contract
California Institute of Technology (Caltech) has 9 source-backed AI policy claims from 2 official source attributions, including 9 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 5, 2026. Discovery context: California Institute of Technology (Caltech) is listed as QS 2026 rank 10.
Citation-ready summary
As of this public record, University AI Policy Tracker lists California Institute of Technology (Caltech) as an agent-reviewed AI policy record last checked on May 5, 2026 and last changed on May 6, 2026. The record contains 9 source-backed claims, including 9 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/california-institute-of-technology.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Teaching claims.
- Named AI services detected in public claims: Grammarly.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
California Institute of Technology (Caltech) has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
California Institute of Technology (Caltech) has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
California Institute of Technology (Caltech) has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
California Institute of Technology (Caltech) has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
California Institute of Technology (Caltech) has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Teaching guidance
California Institute of Technology (Caltech) has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
California Institute of Technology (Caltech) has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
9 reviewed evidence-backed public claim
Teaching
Caltech admissions requires all Fall 2026 applicants to review its admissions guidelines on the ethical use of AI before submitting supplemental essays. Failure to comply may result in rescission of admission.
Review: Agent reviewed
Oorspronkelijk bewijs
Evidence 1All Fall 2026 applicants must review Caltech's guidelines on the ethical use of AI before submitting their supplemental essays. Failure to comply with the Ethical Use of AI guidelines may result in the rescission of your admission to Caltech.
Teaching
Caltech admissions prohibits applicants from copying and pasting directly from an AI generator, relying on AI-generated content to outline or draft essays, replacing their unique voice with AI-generated content, or translating essays via AI.
Review: Agent reviewed
Oorspronkelijk bewijs
Evidence 1What are some examples of unethical uses of AI for Caltech admissions essays? - Copying and pasting directly from an AI generator - Relying on AI generated content to outline or draft an essay - Replacing your unique voice and tone with AI generated content - Translating an essay written in another language
Teaching
Caltech admissions permits applicants to use AI tools like Grammarly or Microsoft Editor for grammar and spelling review of completed essays, to generate brainstorming questions or exercises, and to research the college application process.
Review: Agent reviewed
Oorspronkelijk bewijs
Evidence 1What are some examples of ethical uses of AI for Caltech admissions essays? - Using AI tools, like Grammarly or Microsoft Editor, to review grammar and spelling of your completed essays - Generating questions or exercises to help kick start the brainstorming process - Using AI to research the college application process
Teaching
In Caltech's Humanities and Social Sciences (HSS) division, students may use generative AI tools only in ways explicitly allowed by the course instructor in the course materials. Any usage not specifically allowed should be assumed to be disallowed.
Review: Agent reviewed
Oorspronkelijk bewijs
Evidence 1At present, students submitting work for HSS courses may use generative AI tools only in ways that are explicitly allowed by the course instructor in the course materials. Any usage that is not specifically allowed should be assumed to be disallowed.
Teaching
The Caltech HSS generative AI policy applies to all assignments including major papers, exams, discussion board posts, reflections, and problem sets.
Review: Agent reviewed
Oorspronkelijk bewijs
Evidence 1This policy applies to all assignments, including major papers and exams as well as smaller assignments like discussion board posts, reflections, and problem sets.
Teaching
Caltech admissions AI guidelines were approved by the Undergraduate Faculty Admissions and Graduate Studies committees for the Fall 2026 application cycle, and may evolve for future cycles.
Review: Agent reviewed
Oorspronkelijk bewijs
Evidence 1The Undergraduate Faculty Admissions and Graduate Studies committees convened and have approved of the following ethical guidelines for the use of AI in the Fall 2026 application cycle. As access to AI continues to grow and the technology evolves, so will our recommendations and expectations for future application cycles.
Teaching
Caltech HSS students are expected to follow specific course guidance for documenting any permitted use of generative AI tools.
Review: Agent reviewed
Oorspronkelijk bewijs
Evidence 1Students will also be expected to follow specific course guidance for documenting any permitted use of these tools.
Teaching
At Caltech, AI use policies for student coursework are determined by individual departments and/or individual faculty, not by a university-wide policy.
Review: Agent reviewed
Oorspronkelijk bewijs
Evidence 1Caltech students, faculty, and staff are guided by the Honor Code and policies of AI use as an academic tool by students will be determined by individual departments and/or individual faculty.
Teaching
The Caltech HSS generative AI policy states that generative AI may promote learning in some contexts and impede it in others, and instructors prioritize student learning in setting these policies.
Review: Agent reviewed
Oorspronkelijk bewijs
Evidence 1In our teaching, HSS instructors prioritize student learning, and this commitment drives our policies on the use of generative AI in the classroom. Generative AI may promote learning in some contexts and impede it in others.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
2 source attribution
HSS Policy on Generative AI
hss.caltech.edu
Undergraduate and Graduate Admissions AI Policy: Guidelines for Fall Applicants
admissions.caltech.edu
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.