{"apiVersion":"v1","generatedAt":"2026-05-20T14:30:26.337Z","canonicalUrl":"https://eduaipolicy.org/universities/illinois-institute-of-technology","license":"CC-BY-4.0","trackerMetadataLicense":"CC-BY-4.0","sourcePolicy":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms.","sourceRightsPolicy":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms.","limitations":["Policy analysis profiles are deterministic summaries of public tracker claims and are not final policy conclusions.","Policy Coverage Score measures breadth of public, source-backed coverage; it is not a policy quality score, strictness score, legal adequacy score, safety score, or institutional compliance score.","This tracker 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."],"citation":{"citationTitle":"Illinois Institute of Technology policy analysis profile","canonicalUrl":"https://eduaipolicy.org/universities/illinois-institute-of-technology","publicJsonUrl":"https://eduaipolicy.org/api/public/v1/analysis/universities/illinois-institute-of-technology.json","suggestedCitation":"University AI Policy Tracker. \"Illinois Institute of Technology policy analysis profile.\" Version v1. https://eduaipolicy.org/universities/illinois-institute-of-technology","sourceRightsPolicy":"Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms."},"data":{"schemaVersion":"uapt-policy-analysis-v1","apiVersion":"v1","entityType":"university","entitySlug":"illinois-institute-of-technology","entityName":"Illinois Institute of Technology","canonicalUrl":"https://eduaipolicy.org/universities/illinois-institute-of-technology","publicJsonUrl":"https://eduaipolicy.org/api/public/v1/analysis/universities/illinois-institute-of-technology.json","generatedAt":"2026-05-17T04:18:40.000Z","basedOnClaimIds":["claim-iit-ai-assisted-grading-disclosure","claim-iit-ai-course-objectives","claim-iit-misrepresentation-dishonesty","claim-iit-source-status-ai-guidance","claim-iit-syllabus-ai-expectations"],"basedOnSourceUrls":["https://www.iit.edu/academic-affairs/academic-honesty-guidelines","https://www.iit.edu/cli/ai-teaching-and-learning"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.774,"coverageScore":{"score":90,"maxScore":100,"label":"broad_public_coverage","components":[{"key":"policy_presence","label":"Central AI policy or guidance source exists","points":15,"maxPoints":15,"status":"unclear","evidenceClaimIds":["claim-iit-source-status-ai-guidance","claim-iit-ai-course-objectives","claim-iit-misrepresentation-dishonesty","claim-iit-syllabus-ai-expectations"],"reviewState":"machine_candidate"},{"key":"academic_integrity","label":"Academic integrity guidance","points":15,"maxPoints":15,"status":"conditionally_allowed","evidenceClaimIds":["claim-iit-ai-course-objectives","claim-iit-misrepresentation-dishonesty"],"reviewState":"machine_candidate"},{"key":"ai_disclosure","label":"AI disclosure guidance","points":15,"maxPoints":15,"status":"recommended","evidenceClaimIds":["claim-iit-ai-assisted-grading-disclosure"],"reviewState":"machine_candidate"},{"key":"coursework","label":"Coursework guidance","points":10,"maxPoints":10,"status":"conditionally_allowed","evidenceClaimIds":["claim-iit-ai-course-objectives","claim-iit-misrepresentation-dishonesty","claim-iit-syllabus-ai-expectations","claim-iit-ai-assisted-grading-disclosure"],"reviewState":"machine_candidate"},{"key":"exams","label":"Exam or assessment guidance","points":10,"maxPoints":10,"status":"conditionally_allowed","evidenceClaimIds":["claim-iit-ai-course-objectives","claim-iit-misrepresentation-dishonesty","claim-iit-syllabus-ai-expectations","claim-iit-ai-assisted-grading-disclosure"],"reviewState":"machine_candidate"},{"key":"privacy_data_entry","label":"Privacy or data-entry guidance","points":15,"maxPoints":15,"status":"conditionally_allowed","evidenceClaimIds":["claim-iit-source-status-ai-guidance","claim-iit-syllabus-ai-expectations"],"reviewState":"machine_candidate"},{"key":"approved_tools","label":"Approved tools, procurement, or licensed tools","points":0,"maxPoints":10,"status":"not_mentioned","evidenceClaimIds":[],"reviewState":"machine_candidate"},{"key":"teaching_guidance","label":"Teaching or research guidance","points":10,"maxPoints":10,"status":"recommended","evidenceClaimIds":["claim-iit-source-status-ai-guidance","claim-iit-ai-course-objectives","claim-iit-syllabus-ai-expectations","claim-iit-ai-assisted-grading-disclosure"],"reviewState":"machine_candidate"}],"reviewState":"machine_candidate","limitations":["Policy Coverage Score measures breadth of public, source-backed coverage; it is not a policy quality score.","This tracker 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."]},"dimensions":[{"key":"policy_presence","label":"Policy presence","status":"unclear","normalizedValue":"official_ai_guidance_found","summary":"Illinois Institute of Technology has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.","explanation":"Whether the public record contains official AI policy or guidance sources. This unclear status was derived from claim type, normalized value, and keyword rules over 4 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["claim-iit-source-status-ai-guidance","claim-iit-ai-course-objectives","claim-iit-misrepresentation-dishonesty","claim-iit-syllabus-ai-expectations"],"evidenceSourceUrls":["https://www.iit.edu/academic-affairs/academic-honesty-guidelines","https://www.iit.edu/cli/ai-teaching-and-learning"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.78,"evidenceCount":4,"sourceCount":2,"basis":[{"claimId":"claim-iit-source-status-ai-guidance","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"This guideline on academic honesty and generative AI is intended to provide guidance for both students and faculty on engaging with generative AI productively, while still maintaining a rigorous and honest academic environment.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-ai-course-objectives","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"This means that each syllabus needs to clearly define what the learning objectives are and be clear as to what is and is not allowed in terms of \"outside\" resources to demonstrate proficiency with that learning objective.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-misrepresentation-dishonesty","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"Therefore, misrepresentation of proficiency by (getting either directly or indirectly someone else’s) product is dishonesty. It cheats the student of their needed personal development, and it is academic dishonesty, which results in disciplinary action.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-syllabus-ai-expectations","sourceUrl":"https://www.iit.edu/cli/ai-teaching-and-learning","sourceLanguage":"en","evidenceSnippet":"In the interest of transparency and academic integrity, faculty are asked to ensure their syllabus provides students with clear expectations regarding the use of AI in their courses. Below are recommended statements dependent on instructor expectations.","sourceSnapshotHash":"7c0f2c128f8af64e4b0d13e40b54f5f25e2b65856fa5e191420eeeec8f44496f","reviewState":"agent_reviewed"}]},{"key":"ai_disclosure","label":"AI disclosure","status":"recommended","normalizedValue":"ai_assisted_grading_disclosure_sample_language","summary":"Illinois Institute of Technology has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.","explanation":"Whether public guidance addresses disclosure, acknowledgement, citation, or declaration of AI use. This recommended status was derived from claim type, normalized value, and keyword rules over 1 supporting public claim. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["claim-iit-ai-assisted-grading-disclosure"],"evidenceSourceUrls":["https://www.iit.edu/cli/ai-teaching-and-learning"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.748,"evidenceCount":1,"sourceCount":1,"basis":[{"claimId":"claim-iit-ai-assisted-grading-disclosure","sourceUrl":"https://www.iit.edu/cli/ai-teaching-and-learning","sourceLanguage":"en","evidenceSnippet":"\"While I may use AI-assisted tools to support the grading process and provide formative feedback, this will be explicitly stated in the assignment instructions whenever such tools are used. Regardless of the tools involved, please be assured that I maintain final oversight, review, and ultimate responsibility for all assigned grades.\"","sourceSnapshotHash":"7c0f2c128f8af64e4b0d13e40b54f5f25e2b65856fa5e191420eeeec8f44496f","reviewState":"agent_reviewed"}]},{"key":"coursework","label":"Coursework","status":"conditionally_allowed","normalizedValue":"ai_use_course_objective_dependent","summary":"Illinois Institute of Technology has 4 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.","explanation":"Whether public guidance addresses coursework, assignments, syllabi, papers, homework, or submitted work. This conditionally_allowed status was derived from claim type, normalized value, and keyword rules over 4 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["claim-iit-ai-course-objectives","claim-iit-misrepresentation-dishonesty","claim-iit-syllabus-ai-expectations","claim-iit-ai-assisted-grading-disclosure"],"evidenceSourceUrls":["https://www.iit.edu/academic-affairs/academic-honesty-guidelines","https://www.iit.edu/cli/ai-teaching-and-learning"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.769,"evidenceCount":4,"sourceCount":2,"basis":[{"claimId":"claim-iit-ai-course-objectives","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"This means that each syllabus needs to clearly define what the learning objectives are and be clear as to what is and is not allowed in terms of \"outside\" resources to demonstrate proficiency with that learning objective.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-misrepresentation-dishonesty","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"Therefore, misrepresentation of proficiency by (getting either directly or indirectly someone else’s) product is dishonesty. It cheats the student of their needed personal development, and it is academic dishonesty, which results in disciplinary action.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-syllabus-ai-expectations","sourceUrl":"https://www.iit.edu/cli/ai-teaching-and-learning","sourceLanguage":"en","evidenceSnippet":"In the interest of transparency and academic integrity, faculty are asked to ensure their syllabus provides students with clear expectations regarding the use of AI in their courses. Below are recommended statements dependent on instructor expectations.","sourceSnapshotHash":"7c0f2c128f8af64e4b0d13e40b54f5f25e2b65856fa5e191420eeeec8f44496f","reviewState":"agent_reviewed"},{"claimId":"claim-iit-ai-assisted-grading-disclosure","sourceUrl":"https://www.iit.edu/cli/ai-teaching-and-learning","sourceLanguage":"en","evidenceSnippet":"\"While I may use AI-assisted tools to support the grading process and provide formative feedback, this will be explicitly stated in the assignment instructions whenever such tools are used. Regardless of the tools involved, please be assured that I maintain final oversight, review, and ultimate responsibility for all assigned grades.\"","sourceSnapshotHash":"7c0f2c128f8af64e4b0d13e40b54f5f25e2b65856fa5e191420eeeec8f44496f","reviewState":"agent_reviewed"}]},{"key":"exams","label":"Exams","status":"conditionally_allowed","normalizedValue":"ai_use_course_objective_dependent","summary":"Illinois Institute of Technology has 4 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.","explanation":"Whether public guidance addresses exams, tests, quizzes, or examination conditions. This conditionally_allowed status was derived from claim type, normalized value, and keyword rules over 4 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["claim-iit-ai-course-objectives","claim-iit-misrepresentation-dishonesty","claim-iit-syllabus-ai-expectations","claim-iit-ai-assisted-grading-disclosure"],"evidenceSourceUrls":["https://www.iit.edu/academic-affairs/academic-honesty-guidelines","https://www.iit.edu/cli/ai-teaching-and-learning"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.769,"evidenceCount":4,"sourceCount":2,"basis":[{"claimId":"claim-iit-ai-course-objectives","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"This means that each syllabus needs to clearly define what the learning objectives are and be clear as to what is and is not allowed in terms of \"outside\" resources to demonstrate proficiency with that learning objective.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-misrepresentation-dishonesty","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"Therefore, misrepresentation of proficiency by (getting either directly or indirectly someone else’s) product is dishonesty. It cheats the student of their needed personal development, and it is academic dishonesty, which results in disciplinary action.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-syllabus-ai-expectations","sourceUrl":"https://www.iit.edu/cli/ai-teaching-and-learning","sourceLanguage":"en","evidenceSnippet":"In the interest of transparency and academic integrity, faculty are asked to ensure their syllabus provides students with clear expectations regarding the use of AI in their courses. Below are recommended statements dependent on instructor expectations.","sourceSnapshotHash":"7c0f2c128f8af64e4b0d13e40b54f5f25e2b65856fa5e191420eeeec8f44496f","reviewState":"agent_reviewed"},{"claimId":"claim-iit-ai-assisted-grading-disclosure","sourceUrl":"https://www.iit.edu/cli/ai-teaching-and-learning","sourceLanguage":"en","evidenceSnippet":"\"While I may use AI-assisted tools to support the grading process and provide formative feedback, this will be explicitly stated in the assignment instructions whenever such tools are used. Regardless of the tools involved, please be assured that I maintain final oversight, review, and ultimate responsibility for all assigned grades.\"","sourceSnapshotHash":"7c0f2c128f8af64e4b0d13e40b54f5f25e2b65856fa5e191420eeeec8f44496f","reviewState":"agent_reviewed"}]},{"key":"privacy_data_entry","label":"Privacy and data entry","status":"conditionally_allowed","normalizedValue":"official_ai_guidance_found","summary":"Illinois Institute of Technology has 2 source-backed public claims for privacy and data entry; deterministic analysis status: conditionally_allowed.","explanation":"Whether public guidance addresses personal, confidential, sensitive, regulated, or student data entry into AI tools. This conditionally_allowed status was derived from claim type, normalized value, and keyword rules over 2 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["claim-iit-source-status-ai-guidance","claim-iit-syllabus-ai-expectations"],"evidenceSourceUrls":["https://www.iit.edu/academic-affairs/academic-honesty-guidelines","https://www.iit.edu/cli/ai-teaching-and-learning"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.782,"evidenceCount":2,"sourceCount":2,"basis":[{"claimId":"claim-iit-source-status-ai-guidance","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"This guideline on academic honesty and generative AI is intended to provide guidance for both students and faculty on engaging with generative AI productively, while still maintaining a rigorous and honest academic environment.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-syllabus-ai-expectations","sourceUrl":"https://www.iit.edu/cli/ai-teaching-and-learning","sourceLanguage":"en","evidenceSnippet":"In the interest of transparency and academic integrity, faculty are asked to ensure their syllabus provides students with clear expectations regarding the use of AI in their courses. Below are recommended statements dependent on instructor expectations.","sourceSnapshotHash":"7c0f2c128f8af64e4b0d13e40b54f5f25e2b65856fa5e191420eeeec8f44496f","reviewState":"agent_reviewed"}]},{"key":"academic_integrity","label":"Academic integrity","status":"conditionally_allowed","normalizedValue":"ai_use_course_objective_dependent","summary":"Illinois Institute of Technology has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.","explanation":"Whether public guidance connects AI use to academic integrity, misconduct, dishonesty, plagiarism, or cheating rules. This conditionally_allowed status was derived from claim type, normalized value, and keyword rules over 2 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["claim-iit-ai-course-objectives","claim-iit-misrepresentation-dishonesty"],"evidenceSourceUrls":["https://www.iit.edu/academic-affairs/academic-honesty-guidelines"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.778,"evidenceCount":2,"sourceCount":1,"basis":[{"claimId":"claim-iit-ai-course-objectives","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"This means that each syllabus needs to clearly define what the learning objectives are and be clear as to what is and is not allowed in terms of \"outside\" resources to demonstrate proficiency with that learning objective.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-misrepresentation-dishonesty","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"Therefore, misrepresentation of proficiency by (getting either directly or indirectly someone else’s) product is dishonesty. It cheats the student of their needed personal development, and it is academic dishonesty, which results in disciplinary action.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"}]},{"key":"approved_tools","label":"Approved tools","status":"not_mentioned","summary":"No source-backed public claim identifying approved or licensed AI tools is present in this profile.","explanation":"This is an absence-of-evidence marker for the current tracker profile, not proof that no such policy exists.","evidenceClaimIds":[],"evidenceSourceUrls":[],"sourceLanguages":[],"reviewState":"machine_candidate","confidence":0,"evidenceCount":0,"sourceCount":0,"notMentionedReason":"The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.","basis":[]},{"key":"named_ai_services","label":"Named AI services","status":"not_mentioned","summary":"No source-backed public claim naming a specific AI service is present in this profile.","explanation":"This is an absence-of-evidence marker for the current tracker profile, not proof that no such policy exists.","evidenceClaimIds":[],"evidenceSourceUrls":[],"sourceLanguages":[],"reviewState":"machine_candidate","confidence":0,"evidenceCount":0,"sourceCount":0,"notMentionedReason":"The current public tracker record does not contain claim evidence naming a specific AI service.","basis":[]},{"key":"teaching_guidance","label":"Teaching guidance","status":"recommended","normalizedValue":"official_ai_guidance_found","summary":"Illinois Institute of Technology has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.","explanation":"Whether public guidance addresses instructors, teaching, classroom policy, assessment design, or syllabus language. This recommended status was derived from claim type, normalized value, and keyword rules over 4 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["claim-iit-source-status-ai-guidance","claim-iit-ai-course-objectives","claim-iit-syllabus-ai-expectations","claim-iit-ai-assisted-grading-disclosure"],"evidenceSourceUrls":["https://www.iit.edu/academic-affairs/academic-honesty-guidelines","https://www.iit.edu/cli/ai-teaching-and-learning"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.774,"evidenceCount":4,"sourceCount":2,"basis":[{"claimId":"claim-iit-source-status-ai-guidance","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"This guideline on academic honesty and generative AI is intended to provide guidance for both students and faculty on engaging with generative AI productively, while still maintaining a rigorous and honest academic environment.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-ai-course-objectives","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"This means that each syllabus needs to clearly define what the learning objectives are and be clear as to what is and is not allowed in terms of \"outside\" resources to demonstrate proficiency with that learning objective.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"},{"claimId":"claim-iit-syllabus-ai-expectations","sourceUrl":"https://www.iit.edu/cli/ai-teaching-and-learning","sourceLanguage":"en","evidenceSnippet":"In the interest of transparency and academic integrity, faculty are asked to ensure their syllabus provides students with clear expectations regarding the use of AI in their courses. Below are recommended statements dependent on instructor expectations.","sourceSnapshotHash":"7c0f2c128f8af64e4b0d13e40b54f5f25e2b65856fa5e191420eeeec8f44496f","reviewState":"agent_reviewed"},{"claimId":"claim-iit-ai-assisted-grading-disclosure","sourceUrl":"https://www.iit.edu/cli/ai-teaching-and-learning","sourceLanguage":"en","evidenceSnippet":"\"While I may use AI-assisted tools to support the grading process and provide formative feedback, this will be explicitly stated in the assignment instructions whenever such tools are used. Regardless of the tools involved, please be assured that I maintain final oversight, review, and ultimate responsibility for all assigned grades.\"","sourceSnapshotHash":"7c0f2c128f8af64e4b0d13e40b54f5f25e2b65856fa5e191420eeeec8f44496f","reviewState":"agent_reviewed"}]},{"key":"research_guidance","label":"Research guidance","status":"recommended","normalizedValue":"official_ai_guidance_found","summary":"Illinois Institute of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.","explanation":"Whether public guidance addresses research use, publication ethics, research data, grants, or human-subjects compliance. This recommended status was derived from claim type, normalized value, and keyword rules over 1 supporting public claim. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["claim-iit-source-status-ai-guidance"],"evidenceSourceUrls":["https://www.iit.edu/academic-affairs/academic-honesty-guidelines"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.791,"evidenceCount":1,"sourceCount":1,"basis":[{"claimId":"claim-iit-source-status-ai-guidance","sourceUrl":"https://www.iit.edu/academic-affairs/academic-honesty-guidelines","sourceLanguage":"en","evidenceSnippet":"This guideline on academic honesty and generative AI is intended to provide guidance for both students and faculty on engaging with generative AI productively, while still maintaining a rigorous and honest academic environment.","sourceSnapshotHash":"418b8f203ecc0b6cda451f3defee644b4b0de9cf05c86a9726aedda0f68e8a25","reviewState":"agent_reviewed"}]},{"key":"security_procurement","label":"Security and procurement","status":"not_mentioned","summary":"No source-backed public claim about AI security review or procurement is present in this profile.","explanation":"This is an absence-of-evidence marker for the current tracker profile, not proof that no such policy exists.","evidenceClaimIds":[],"evidenceSourceUrls":[],"sourceLanguages":[],"reviewState":"machine_candidate","confidence":0,"evidenceCount":0,"sourceCount":0,"notMentionedReason":"The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.","basis":[]}],"limitations":["Policy analysis profiles are deterministic summaries of public tracker claims and are not final policy conclusions.","Policy Coverage Score measures breadth of public, source-backed coverage; it is not a policy quality score, strictness score, legal adequacy score, safety score, or institutional compliance score.","This tracker 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."],"suggestedCitation":"University AI Policy Tracker. \"Illinois Institute of Technology policy analysis profile.\" Version v1. https://eduaipolicy.org/universities/illinois-institute-of-technology"}}