Chicago, United States

University of Chicago

University of Chicago has 14 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 14 reviewed claims. Last checked May 5, 2026.

University of Chicago AI policy short answer

v1 public contract

University of Chicago has 14 source-backed AI policy claims from 4 official source attributions, including 14 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: University of Chicago is listed as QS 2026 rank 13.

Citation-ready summary

As of this public record, University AI Policy Tracker lists University of Chicago as an agent-reviewed AI policy record last checked on May 5, 2026 and last changed on May 6, 2026. The record contains 14 source-backed claims, including 14 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-chicago.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.

Claim coverage14 reviewedSource languageenPublic JSON/api/public/v1/universities/university-of-chicago.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Privacy claims.
  • Named AI services detected in public claims: ChatGPT.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims14Reviewed14Candidate0Official sources4

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.

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

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.

Teaching guidance

No source-backed public claim about teaching guidance is present in this profile.

The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

14 reviewed evidence-backed public claim

Ai Tool Treatment

The University of Chicago maintains a page listing approved, restricted, and unauthorized AI tools, with use conditions and review information for the university community.

Review: Agent reviewedConfidence95%

原始证据

Evidence 1
Approved and Restricted AI Tools If a proposed tool or use case isn't listed on this table, the next step depends on whether the tool requires payment for use. For paid tools, individuals should submit a request through the Service Now Procurement Intake. For free tools, if a researcher or staff member intends to use a generative AI tool with sensitive data, or in research contexts, please complete the Generative AI Tool Evaluation Form.

Privacy

At the University of Chicago, use of confidential data with publicly available generative AI tools is prohibited without prior security and privacy review. This includes personally identifiable employee data, FERPA-covered student data, HIPAA-covered patient data, and research that is not yet publicly available.

Review: Agent reviewedConfidence95%

原始证据

Evidence 1
The use of confidential data with publicly available generative AI tools is prohibited without prior security and privacy review. This includes personally identifiable employee data, FERPA-covered student data, HIPAA-covered patient data, and may include research that is not yet publicly available.

Privacy

At the University of Chicago, generative AI systems, applications, and software products that process, analyze, or move confidential data require a security review before they are acquired, even if the software is free.

Review: Agent reviewedConfidence95%

原始证据

Evidence 1
Generative AI systems, applications, and software products that process, analyze, or move confidential data require a security review before they are acquired, even if the software is free.

Privacy

At the University of Chicago, use of University data by vendors to train or improve their AI models is not permitted.

Review: Agent reviewedConfidence95%

原始证据

Evidence 1
Data Use Restrictions: Use of University data by vendors to train or improve their models is not permitted.

Privacy

At the University of Chicago, confidential, sensitive, or restricted data should not be used with generative AI tools unless the tool and the use have been reviewed and approved through the appropriate University process.

Review: Agent reviewedConfidence95%

原始证据

Evidence 1
Confidential data, sensitive data, or restricted data should not be used with generative AI tools unless the tool and the use have been reviewed and approved through the appropriate University process.

Ai Tool Treatment

At the University of Chicago, even when an AI tool is listed as approved, it is not risk-free. Approval means the tool can be used under specific conditions, but users are still responsible for evaluating the sensitivity of their data and ensuring confidential, regulated, or contract-restricted information is not shared unless explicitly allowed.

Review: Agent reviewedConfidence90%

原始证据

Evidence 1
Please note: even when a tool is listed as approved, it is not risk-free. Approval simply means the tool can be used under specific conditions, but not that all data is safe to enter. Users are still responsible for evaluating the sensitivity of their data, understanding vendor limitations, and ensuring that confidential, regulated, or contract-restricted information is not shared with AI tools unless explicitly allowed.

Ai Tool Treatment

At the University of Chicago, PhoenixAI is the university's internal generative AI platform, approved for general use and can be used for sensitive information with IRB approval.

Review: Agent reviewedConfidence90%

原始证据

Evidence 1
PhoenixAI | See PhoenixAI Service Usage Guidelines | General Use | Enterprise-supported | Can be used for sensitive information with IRB approval. | June 30, 2025

Ai Tool Treatment

At the University of Chicago, ChatGPT 3.5 and ChatGPT 4.0 are approved only for data that is made publicly available by its source, with restrictions limiting use to non-sensitive information.

Review: Agent reviewedConfidence90%

原始证据

Evidence 1
ChatGPT 3.5 | Approved for data that is made publicly available by its source. | General Use | Free | Only for non-sensitive information | January 17, 2025 ChatGPT 4.0 | Approved for data that is made publicly available by its source. | General Use | Free | Only for non-sensitive information | January 17, 2025

Privacy

At the University of Chicago, AI-generated content may be misleading or inaccurate, and it is the responsibility of the tool user to review the accuracy and ownership of any AI-generated content.

Review: Agent reviewedConfidence90%

原始证据

Evidence 1
AI-generated content may be misleading or inaccurate. Generative AI technology may create citations to content that does not exist. Responses from generative AI tools may contain content and materials from other authors and may be copyrighted. It is the responsibility of the tool user to review the accuracy and ownership of any AI-generated content.

Privacy

At the University of Chicago, if a proposed AI tool use exceeds standard risk tolerance but is not prohibited by compliance regulations, a Risk Acceptance Letter may be prepared to document reviewed and accepted risks under specific conditions.

Review: Agent reviewedConfidence90%

原始证据

Evidence 1
Getting an exception through a Risk Acceptance Letter (RAL): If the proposed use is not prohibited by compliance regulations but exceeds standard risk tolerance, and the requester still wishes to proceed with the purchase, the request is escalated to senior leadership—the Chief Information Security Officer (CISO) and Chief Technology Officer (CTO), and the Chief Privacy Officer (CPO)—for guidance.

Ai Tool Treatment

The University of Chicago provides a central hub at genai.uchicago.edu for information on generative AI tools, training, resources, and guidance for the university community.

Review: Agent reviewedConfidence90%

原始证据

Evidence 1
Generative artificial intelligence (AI) is a quickly evolving technology that offers capabilities to enhance teaching and learning, research, and administrative work at the University of Chicago. We want to provide the UChicago community with information on the latest tools integrating generative AI, as well as training, resources, and guidance.

Privacy

At the University of Chicago, AI transcription or assistant tools may not be used to secretly record or join meetings, per the Business Conduct Policy.

Review: Agent reviewedConfidence90%

原始证据

Evidence 1
Business Conduct Policy: Staff must act with honesty and integrity, safeguard confidential information, and prevent unauthorized disclosures. Prohibits recording conversations without consent. AI transcription/assistant tools may not be used to secretly record or join meetings.

Privacy

At the University of Chicago, AI tools may not be used to generate harassing, discriminatory, or otherwise unlawful content, including the use of AI to create or alter images, audio, and videos, per the Policy on Harassment, Discrimination, and Sexual Misconduct.

Review: Agent reviewedConfidence90%

原始证据

Evidence 1
Policy on Harassment, Discrimination, and Sexual Misconduct: Prohibits unlawful harassment, discrimination, and sexual misconduct. AI tools may not be used to generate harassing, discriminatory, or otherwise unlawful content. This includes the use of AI to create or alter images, audio, and videos.

Privacy

At the University of Chicago, entering sensitive data into AI tools without review and approval by security, privacy, and the appropriate data steward may create an unauthorized data disclosure that may violate University policy, federal and state law, sponsor or contract obligations, and data use agreements.

Review: Agent reviewedConfidence90%

原始证据

Evidence 1
Entering sensitive data into AI tools without review and approval by security, privacy, and the appropriate data steward may create an unauthorized data disclosure. Such disclosures may violate University policy, federal and state law, sponsor or contract obligations, and data use agreements.

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

4 source attribution

Generative AI at UChicago

genai.uchicago.edu

Snapshot hash
70fc1f89d7a4335ed37f5837642b63ddac7801408fe0a7bbf681139400111668

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.

Last checkedMay 5, 2026Last changedMay 6, 2026Open change log

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.

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