Policy presence
University of Chicago has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Chicago, United States
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.
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.
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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
University of Chicago has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Chicago has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
University of Chicago has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Chicago has 5 source-backed public claims for exams; deterministic analysis status: restricted.
University of Chicago has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Chicago has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
University of Chicago has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of Chicago has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
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.
University of Chicago has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
University of Chicago has 2 source-backed public claims for security and procurement; deterministic analysis status: blocked.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
14 reviewed evidence-backed public claim
Ai Tool Treatment
Oryginalny dowod
Evidence 1Approved 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
Oryginalny dowod
Evidence 1The 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
Oryginalny dowod
Evidence 1Generative 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
Oryginalny dowod
Evidence 1Data Use Restrictions: Use of University data by vendors to train or improve their models is not permitted.
Privacy
Oryginalny dowod
Evidence 1Confidential 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
Oryginalny dowod
Evidence 1Please 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
Oryginalny dowod
Evidence 1PhoenixAI | See PhoenixAI Service Usage Guidelines | General Use | Enterprise-supported | Can be used for sensitive information with IRB approval. | June 30, 2025
Ai Tool Treatment
Oryginalny dowod
Evidence 1ChatGPT 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
Oryginalny dowod
Evidence 1AI-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
Oryginalny dowod
Evidence 1Getting 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
Oryginalny dowod
Evidence 1Generative 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
Oryginalny dowod
Evidence 1Business 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
Oryginalny dowod
Evidence 1Policy 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
Oryginalny dowod
Evidence 1Entering 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.
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.
4 source attribution
genai.uchicago.edu
genai.uchicago.edu
genai.uchicago.edu
genai.uchicago.edu
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