Policy presence
Yale University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
New Haven, United States
Yale University
Yale University is listed as QS 2026 rank 21. Yale University has 12 source-backed AI policy claim records from 8 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Yale University is listed as QS 2026 rank 21. Yale University has 12 source-backed AI policy claim records from 8 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
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
Yale University has 2 source-backed public claims for ai disclosure; deterministic analysis status: unclear.
Coursework
Yale University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Yale University has 5 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Yale University has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Yale University has 3 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
Yale University has 4 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Yale University has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Yale University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Yale University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
Yale University has 1 source-backed public claim for security and procurement; deterministic analysis status: recommended.
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
12 reviewed evidence-backed public claim
Academic Integrity
Yale academic integrity guidance treats inserting AI-generated text into an assignment without proper attribution as an academic integrity violation.
Review: Agent reviewed
Normalized value: ai_text_without_attribution_violation
Original evidence
Evidence 1Inserting AI-generated text into an assignment without proper attribution is a violation of academic integrity, and using AI tools in a manner that was not authorized by your instructor may also be considered a breach of academic integrity.
Privacy
Yale guidance says confidential, legally restricted, moderate-risk, and high-risk Yale data should not be entered into AI tools.
Review: Agent reviewed
Normalized value: restricted_data_not_for_ai_tools
Original evidence
Evidence 1Do not enter confidential or legally restricted data or any data that Yale's data classification policy identifies as moderate or high-risk into an AI tool.
Ai Tool Treatment
Yale lists Clarity Platform as a Yale-provided AI chatbot platform housed within Yale secure infrastructure and available to staff, faculty, and students.
Review: Agent reviewed
Normalized value: clarity_platform_yale_provided
Original evidence
Evidence 1The Clarity Platform provides access to AI chatbots similar to OpenAI's ChatGPT or Microsoft Copilot Chat but housed within Yale's secure infrastructure... Available to: staff, faculty, and students.
Academic Integrity
Yale expects faculty to give clear instructions on permitted AI use and attribution, and expects students to follow instructor guidelines for coursework.
Review: Agent reviewed
Normalized value: instructor_policy_controls_coursework_use
Original evidence
Evidence 1Faculty members are expected to provide clear instructions on the permitted use of generative AI tools for academic work and requirements for attribution. Likewise, students are expected to follow their instructors' guidelines about permitted use of AI for coursework.
Teaching
Yale states that instructors have authority within each course to determine whether and how students may use AI on assignments.
Review: Agent reviewed
Normalized value: course_level_instructor_authority
Original evidence
Evidence 1Within each course, instructors at Yale have full authority to determine whether and how students may use AI when completing assignments.
Privacy
Yale Poorvu Center guidance says classroom AI use must comply with FERPA and instructors cannot require students to create external accounts for tools Yale does not directly license.
Review: Agent reviewed
Normalized value: ferpa_and_no_required_unlicensed_external_accounts
Original evidence
Evidence 1Your use of AI tools in the classroom must comply with the Family Educational Rights and Privacy Act (FERPA). In particular, you cannot require students to create external accounts for tools Yale does not directly license.
Privacy
Yale describes Copilot Chat as not using conversations to train AI models or sharing data with OpenAI, while limiting high-risk data to Work search.
Review: Agent reviewed
Normalized value: copilot_chat_data_protection_work_search
Original evidence
Evidence 1It does not use your conversations to train any AI model or share any data with OpenAI, ensuring your information remains private. Functionality is split into a Work and a Web tab. High risk data should only be used in the Work search.
Academic Integrity
The Yale Poorvu Center says it does not endorse AI detection software or enable such features in Canvas.
Review: Agent reviewed
Normalized value: ai_detection_not_endorsed
Original evidence
Evidence 1Given the ever-evolving capabilities of AI the Poorvu Center doesn't endorse the use of AI detection software or enable such features in Canvas.
Ai Tool Treatment
Yale labels listed no-cost popular AI tools as informational only, not endorsed or provided by Yale, and for low-risk unsecured data experimentation and collaboration.
Review: Agent reviewed
Normalized value: external_tools_low_risk_personal_use_only
Original evidence
Evidence 1This list is for informational purposes only as these tools are not endorsed by Yale. They are for personal use only and are not provided by the university. Use when handling low-risk, unsecured data for experimentation and collaboration.
Other
Yale guidance tells users to review and verify AI-generated outputs, especially before publication.
Review: Agent reviewed
Normalized value: review_verify_ai_outputs
Original evidence
Evidence 1Always review and verify outputs generated by AI tools, especially before publication.
Procurement
Yale guidance directs people considering an AI product to conduct an initial review for institutional security requirements.
Review: Agent reviewed
Normalized value: ai_product_security_review
Original evidence
Evidence 1If you are considering acquiring an AI product, please conduct an initial review of the tool to ensure that it conforms to institutional security requirements.
Teaching
Yale Poorvu Center guidance says generative AI use is subject to individual course policies and encourages instructors to adapt model policies to their course goals.
Review: Agent reviewed
Normalized value: model_course_ai_policies
Original evidence
Evidence 1Generative AI use is subject to individual course policies. We encourage all instructors to adapt our model policies for their specific course and learning goals.
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
8 source attribution
Academic Dishonesty - Handbook for Instructors
catalog.yale.edu
Academic Integrity and Detection
poorvucenter.yale.edu
AI Guidance for Students
poorvucenter.yale.edu
AI Guidance for Teachers
poorvucenter.yale.edu
Guidelines for the Use of Generative AI Tools
provost.yale.edu
Guiding Principles for Teaching and Learning with AI
poorvucenter.yale.edu
Protecting Student Privacy and Your Data
poorvucenter.yale.edu
Yale's AI Tools and Resources
ai.yale.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.