Policy presence
University of Illinois Urbana-Champaign has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Champaign, United States
University of Illinois Urbana-Champaign
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
University of Illinois Urbana-Champaign has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
University of Illinois Urbana-Champaign has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
University of Illinois Urbana-Champaign has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
University of Illinois Urbana-Champaign has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Illinois Urbana-Champaign has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
University of Illinois Urbana-Champaign has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of Illinois Urbana-Champaign has 4 source-backed public claims for named ai services; deterministic analysis status: recommended.
Teaching guidance
University of Illinois Urbana-Champaign has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Illinois Urbana-Champaign has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
University of Illinois Urbana-Champaign has 5 source-backed public claims for security and procurement; deterministic analysis status: restricted.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
9 reviewed evidence-backed public claim
Ai Tool Treatment
Illinois Enterprise GenAI guidance frames AI as a collaborator for efficiency and creativity rather than a replacement for human insight.
Review: Agent reviewed
Normalized value: ai_as_supportive_tool
Original evidence
Evidence 1Objective: To leverage AI technologies to enhance efficiency and creativity in tasks without replacing the need for human insight.
Privacy
Illinois Enterprise GenAI guidance tells users to handle data used with AI according to legal, institutional, and ethical standards, including privacy laws.
Review: Agent reviewed
Normalized value: ai_data_handling_privacy_laws
Original evidence
Evidence 1Objective: Ensure all data used with AI technologies is handled according to legal, institutional, and ethical standards, with a strong emphasis on respecting intellectual property.
Privacy
Illinois Enterprise GenAI guidance says personally identifiable information should be anonymized, removed, or obfuscated before processing with AI systems where possible.
Review: Agent reviewed
Normalized value: pii_anonymization_before_ai_processing
Original evidence
Evidence 1Where possible, anonymize data to protect individual identities. Remove or obfuscate personally identifiable information (PII) before processing with AI systems.
Security Review
Illinois Enterprise GenAI guidance for service providers includes security controls, audits, MFA, and data privacy compliance for AI systems and sensitive data.
Review: Agent reviewed
Normalized value: ai_security_privacy_accessibility_controls
Original evidence
Evidence 1Service providers should implement robust security measures to protect against unauthorized access and data breaches; conduct regular security audits and vulnerability assessments; enforce the use of multi-factor authentication for accessing AI systems and sensitive data; and ensure compliance with all relevant data privacy laws and regulations, such as GDPR, CCPA, FERPA and HIPAA.
Academic Integrity
Illinois Enterprise GenAI transparency guidance says students need to be transparent about AI use in coursework and cite AI tools according to faculty expectations.
Review: Agent reviewed
Normalized value: student_ai_transparency_citation
Original evidence
Evidence 1Students need to be transparent about the use of AI in completing coursework and know how to properly cite the AI tools according to faculty’s specified expectations.
Teaching
Illinois CITL teaching guidance says faculty should define boundaries for AI use in student work and teach citation of AI-generated text and ideas.
Review: Agent reviewed
Normalized value: faculty_define_ai_boundaries_and_citation
Original evidence
Evidence 1Faculty should clearly define the boundaries for using AI in student work to maintain academic integrity and discourage plagiarism. Students should be educated about the ethical use of AI tools and reminded that text and ideas generated by AI must be cited to avoid plagiarism.
Privacy
Illinois CITL teaching guidance says faculty should not require students to register for AI platforms using their official university email address and should safeguard student data under FERPA.
Review: Agent reviewed
Normalized value: student_email_and_ferpa_ai_tools
Original evidence
Evidence 1Faculty should never require students to register for any platform using their official university email address. It is the faculty members' responsibility to safeguard student data following all relevant regulations covered by FERPA.
Research
The Illinois Graduate College states it does not have a policy on permissibility of generative AI in doctoral milestones, and encourages programs and committees to communicate their expectations.
Review: Agent reviewed
Normalized value: grad_ai_no_policy_expectation_discussion
Original evidence
Evidence 1The Graduate College does not have a policy regarding the permissibility of the use of generative AI in doctoral milestones. However, we encourage discussion within programs and individual committees about their expectations for if and how generative AI can be used in exams and theses.
Research
The Illinois Graduate College frames graduate AI-use discussions as involving disciplinary considerations, ethical use, and best practices for citing AI use.
Review: Agent reviewed
Normalized value: grad_ai_ethical_use_citation_discussion
Original evidence
Evidence 1Such conversations can provide an opportunity to consider the specific disciplinary considerations for generative AI, ethical use, and best practices for citing AI use.
Candidate claims
0 machine or needs-review claim
Official sources
6 source attribution
AI Guidance | Graduate College
grad.illinois.edu
Best Practice: AI as a Supportive Tool | Enterprise GenAI | Office of the Chief Information Officer | Illinois
genai.illinois.edu
Best Practice: Data Handling and Intellectual Property | Enterprise GenAI | Office of the Chief Information Officer | Illinois
genai.illinois.edu
Best Practice: Security, Privacy, and Accessibility | Enterprise GenAI | Office of the Chief Information Officer | Illinois
genai.illinois.edu
Best Practice: Transparency in AI Use | Enterprise GenAI | Office of the Chief Information Officer | Illinois
genai.illinois.edu
Teaching with AI | Center for Innovation in Teaching & Learning
citl.illinois.edu