{"apiVersion":"v1","generatedAt":"2026-05-15T14:35:15.347Z","canonicalUrl":"https://eduaipolicy.org/universities/university-of-north-carolina-at-chapel-hill","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":"University of North Carolina at Chapel Hill policy analysis profile","canonicalUrl":"https://eduaipolicy.org/universities/university-of-north-carolina-at-chapel-hill","publicJsonUrl":"https://eduaipolicy.org/api/public/v1/analysis/universities/university-of-north-carolina-at-chapel-hill.json","suggestedCitation":"University AI Policy Tracker. \"University of North Carolina at Chapel Hill policy analysis profile.\" Version v1. https://eduaipolicy.org/universities/university-of-north-carolina-at-chapel-hill","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":"university-of-north-carolina-at-chapel-hill","entityName":"University of North Carolina at Chapel Hill","canonicalUrl":"https://eduaipolicy.org/universities/university-of-north-carolina-at-chapel-hill","publicJsonUrl":"https://eduaipolicy.org/api/public/v1/analysis/universities/university-of-north-carolina-at-chapel-hill.json","generatedAt":"2026-05-14T14:21:48Z","basedOnClaimIds":["cl-unc-ai-grading-accountability","cl-unc-ai-grading-human-review","cl-unc-faculty-course-ai-guidance","cl-unc-research-public-ai-data","cl-unc-research-scope","cl-unc-staff-sensitive-info-ai"],"basedOnSourceUrls":["https://ai.unc.edu/ai-guidance-for-faculty/","https://ai.unc.edu/research-generative-ai-usage-guidance/","https://ai.unc.edu/staff-generative-ai-usage-guidance/","https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.789,"coverageScore":{"score":85,"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":["cl-unc-ai-grading-human-review","cl-unc-staff-sensitive-info-ai","cl-unc-ai-grading-accountability","cl-unc-research-public-ai-data","cl-unc-research-scope"],"reviewState":"machine_candidate"},{"key":"academic_integrity","label":"Academic integrity guidance","points":0,"maxPoints":15,"status":"not_mentioned","evidenceClaimIds":[],"reviewState":"machine_candidate"},{"key":"ai_disclosure","label":"AI disclosure guidance","points":15,"maxPoints":15,"status":"recommended","evidenceClaimIds":["cl-unc-research-public-ai-data"],"reviewState":"machine_candidate"},{"key":"coursework","label":"Coursework guidance","points":10,"maxPoints":10,"status":"restricted","evidenceClaimIds":["cl-unc-ai-grading-human-review","cl-unc-staff-sensitive-info-ai","cl-unc-ai-grading-accountability","cl-unc-research-scope","cl-unc-faculty-course-ai-guidance"],"reviewState":"machine_candidate"},{"key":"exams","label":"Exam or assessment guidance","points":10,"maxPoints":10,"status":"required","evidenceClaimIds":["cl-unc-ai-grading-human-review","cl-unc-ai-grading-accountability","cl-unc-faculty-course-ai-guidance"],"reviewState":"machine_candidate"},{"key":"privacy_data_entry","label":"Privacy or data-entry guidance","points":15,"maxPoints":15,"status":"restricted","evidenceClaimIds":["cl-unc-staff-sensitive-info-ai","cl-unc-ai-grading-accountability","cl-unc-research-public-ai-data"],"reviewState":"machine_candidate"},{"key":"approved_tools","label":"Approved tools, procurement, or licensed tools","points":10,"maxPoints":10,"status":"restricted","evidenceClaimIds":["cl-unc-staff-sensitive-info-ai","cl-unc-ai-grading-accountability"],"reviewState":"machine_candidate"},{"key":"teaching_guidance","label":"Teaching or research guidance","points":10,"maxPoints":10,"status":"recommended","evidenceClaimIds":["cl-unc-ai-grading-human-review","cl-unc-ai-grading-accountability","cl-unc-research-scope","cl-unc-faculty-course-ai-guidance"],"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":"student-right-to-instructor-review-of-ai-generated-grade","summary":"University of North Carolina at Chapel Hill has 5 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 5 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["cl-unc-ai-grading-human-review","cl-unc-staff-sensitive-info-ai","cl-unc-ai-grading-accountability","cl-unc-research-public-ai-data","cl-unc-research-scope"],"evidenceSourceUrls":["https://ai.unc.edu/research-generative-ai-usage-guidance/","https://ai.unc.edu/staff-generative-ai-usage-guidance/","https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.791,"evidenceCount":5,"sourceCount":3,"basis":[{"claimId":"cl-unc-ai-grading-human-review","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Students must be able to request a full instructor-led review if they disagree with an AI- generated grade or have concerns about automated feedback, without additional scrutiny, justification, or penalty.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"},{"claimId":"cl-unc-staff-sensitive-info-ai","sourceUrl":"https://ai.unc.edu/staff-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Do not enter sensitive information (as defined by the UNC-Chapel Hill Information Classification Standard) into generative AI tools unless the University’s Information Security Office (ISO) has conducted a risk assessment of the generative AI tool and the University’s Data Governance Oversight Group (DGOG) has approved the tool to handle sensitive information.","sourceSnapshotHash":"64b070af83d482591b889995010e7d930ac98bf0bd79372f4cbfcd9411ef654d","reviewState":"agent_reviewed"},{"claimId":"cl-unc-ai-grading-accountability","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Faculty must ensure that any AI system used for grading or feedback is institutionally approved and compliant with data security and privacy standards. Uploading student work to consumer-grade AI platforms not contracted by the university is inconsistent with student privacy laws and university policy.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"},{"claimId":"cl-unc-research-public-ai-data","sourceUrl":"https://ai.unc.edu/research-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Uploading information (e.g., research data, grant proposals, unpublished manuscripts, or analytical results) to a public AI tool is equivalent to releasing it publicly; thus, before any information from you or another individual is uploaded to a public AI tool, appropriate steps must be taken to ensure that the disclosure of that information is consistent with all rules and laws related to the handling of private information.","sourceSnapshotHash":"1d0574d903f2fa9e8a3ba569d78c5b12ea72edc7ddb380d583b8e02dfd808b72","reviewState":"agent_reviewed"},{"claimId":"cl-unc-research-scope","sourceUrl":"https://ai.unc.edu/research-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"This guidance applies to all members of the research community, including faculty, staff (SHRA and EHRA non-faculty), students (undergraduate, graduate and professional), guest researchers (e.g., unpaid volunteers, interns, and visiting scholars), collaborators, and consultants involved in research occurring under the auspices of the University.","sourceSnapshotHash":"1d0574d903f2fa9e8a3ba569d78c5b12ea72edc7ddb380d583b8e02dfd808b72","reviewState":"agent_reviewed"}]},{"key":"ai_disclosure","label":"AI disclosure","status":"recommended","normalizedValue":"public-ai-inputs-treated-as-public-disclosure","summary":"University of North Carolina at Chapel Hill 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":["cl-unc-research-public-ai-data"],"evidenceSourceUrls":["https://ai.unc.edu/research-generative-ai-usage-guidance/"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.791,"evidenceCount":1,"sourceCount":1,"basis":[{"claimId":"cl-unc-research-public-ai-data","sourceUrl":"https://ai.unc.edu/research-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Uploading information (e.g., research data, grant proposals, unpublished manuscripts, or analytical results) to a public AI tool is equivalent to releasing it publicly; thus, before any information from you or another individual is uploaded to a public AI tool, appropriate steps must be taken to ensure that the disclosure of that information is consistent with all rules and laws related to the handling of private information.","sourceSnapshotHash":"1d0574d903f2fa9e8a3ba569d78c5b12ea72edc7ddb380d583b8e02dfd808b72","reviewState":"agent_reviewed"}]},{"key":"coursework","label":"Coursework","status":"restricted","normalizedValue":"student-right-to-instructor-review-of-ai-generated-grade","summary":"University of North Carolina at Chapel Hill has 5 source-backed public claims for coursework; deterministic analysis status: restricted.","explanation":"Whether public guidance addresses coursework, assignments, syllabi, papers, homework, or submitted work. This restricted status was derived from claim type, normalized value, and keyword rules over 5 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["cl-unc-ai-grading-human-review","cl-unc-staff-sensitive-info-ai","cl-unc-ai-grading-accountability","cl-unc-research-scope","cl-unc-faculty-course-ai-guidance"],"evidenceSourceUrls":["https://ai.unc.edu/ai-guidance-for-faculty/","https://ai.unc.edu/research-generative-ai-usage-guidance/","https://ai.unc.edu/staff-generative-ai-usage-guidance/","https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.785,"evidenceCount":5,"sourceCount":4,"basis":[{"claimId":"cl-unc-ai-grading-human-review","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Students must be able to request a full instructor-led review if they disagree with an AI- generated grade or have concerns about automated feedback, without additional scrutiny, justification, or penalty.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"},{"claimId":"cl-unc-staff-sensitive-info-ai","sourceUrl":"https://ai.unc.edu/staff-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Do not enter sensitive information (as defined by the UNC-Chapel Hill Information Classification Standard) into generative AI tools unless the University’s Information Security Office (ISO) has conducted a risk assessment of the generative AI tool and the University’s Data Governance Oversight Group (DGOG) has approved the tool to handle sensitive information.","sourceSnapshotHash":"64b070af83d482591b889995010e7d930ac98bf0bd79372f4cbfcd9411ef654d","reviewState":"agent_reviewed"},{"claimId":"cl-unc-ai-grading-accountability","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Faculty must ensure that any AI system used for grading or feedback is institutionally approved and compliant with data security and privacy standards. Uploading student work to consumer-grade AI platforms not contracted by the university is inconsistent with student privacy laws and university policy.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"},{"claimId":"cl-unc-research-scope","sourceUrl":"https://ai.unc.edu/research-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"This guidance applies to all members of the research community, including faculty, staff (SHRA and EHRA non-faculty), students (undergraduate, graduate and professional), guest researchers (e.g., unpaid volunteers, interns, and visiting scholars), collaborators, and consultants involved in research occurring under the auspices of the University.","sourceSnapshotHash":"1d0574d903f2fa9e8a3ba569d78c5b12ea72edc7ddb380d583b8e02dfd808b72","reviewState":"agent_reviewed"},{"claimId":"cl-unc-faculty-course-ai-guidance","sourceUrl":"https://ai.unc.edu/ai-guidance-for-faculty/","sourceLanguage":"en-US","evidenceSnippet":"Conveying your stance on students’ use of AI in your course is important; it clarifies your expectations and ensures that any use of AI supports rather than frustrates your learning objectives.","sourceSnapshotHash":"2e373948ed876e8ace7da6bd84ba95c4ca94ef56ed402524e0afa9e226cc7caa","reviewState":"agent_reviewed"}]},{"key":"exams","label":"Exams","status":"required","normalizedValue":"student-right-to-instructor-review-of-ai-generated-grade","summary":"University of North Carolina at Chapel Hill has 3 source-backed public claims for exams; deterministic analysis status: required.","explanation":"Whether public guidance addresses exams, tests, quizzes, or examination conditions. This required status was derived from claim type, normalized value, and keyword rules over 3 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["cl-unc-ai-grading-human-review","cl-unc-ai-grading-accountability","cl-unc-faculty-course-ai-guidance"],"evidenceSourceUrls":["https://ai.unc.edu/ai-guidance-for-faculty/","https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.785,"evidenceCount":3,"sourceCount":2,"basis":[{"claimId":"cl-unc-ai-grading-human-review","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Students must be able to request a full instructor-led review if they disagree with an AI- generated grade or have concerns about automated feedback, without additional scrutiny, justification, or penalty.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"},{"claimId":"cl-unc-ai-grading-accountability","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Faculty must ensure that any AI system used for grading or feedback is institutionally approved and compliant with data security and privacy standards. Uploading student work to consumer-grade AI platforms not contracted by the university is inconsistent with student privacy laws and university policy.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"},{"claimId":"cl-unc-faculty-course-ai-guidance","sourceUrl":"https://ai.unc.edu/ai-guidance-for-faculty/","sourceLanguage":"en-US","evidenceSnippet":"Conveying your stance on students’ use of AI in your course is important; it clarifies your expectations and ensures that any use of AI supports rather than frustrates your learning objectives.","sourceSnapshotHash":"2e373948ed876e8ace7da6bd84ba95c4ca94ef56ed402524e0afa9e226cc7caa","reviewState":"agent_reviewed"}]},{"key":"privacy_data_entry","label":"Privacy and data entry","status":"restricted","normalizedValue":"sensitive-information-requires-iso-dgog-approval","summary":"University of North Carolina at Chapel Hill has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.","explanation":"Whether public guidance addresses personal, confidential, sensitive, regulated, or student data entry into AI tools. This restricted status was derived from claim type, normalized value, and keyword rules over 3 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["cl-unc-staff-sensitive-info-ai","cl-unc-ai-grading-accountability","cl-unc-research-public-ai-data"],"evidenceSourceUrls":["https://ai.unc.edu/research-generative-ai-usage-guidance/","https://ai.unc.edu/staff-generative-ai-usage-guidance/","https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.793,"evidenceCount":3,"sourceCount":3,"basis":[{"claimId":"cl-unc-staff-sensitive-info-ai","sourceUrl":"https://ai.unc.edu/staff-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Do not enter sensitive information (as defined by the UNC-Chapel Hill Information Classification Standard) into generative AI tools unless the University’s Information Security Office (ISO) has conducted a risk assessment of the generative AI tool and the University’s Data Governance Oversight Group (DGOG) has approved the tool to handle sensitive information.","sourceSnapshotHash":"64b070af83d482591b889995010e7d930ac98bf0bd79372f4cbfcd9411ef654d","reviewState":"agent_reviewed"},{"claimId":"cl-unc-ai-grading-accountability","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Faculty must ensure that any AI system used for grading or feedback is institutionally approved and compliant with data security and privacy standards. Uploading student work to consumer-grade AI platforms not contracted by the university is inconsistent with student privacy laws and university policy.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"},{"claimId":"cl-unc-research-public-ai-data","sourceUrl":"https://ai.unc.edu/research-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Uploading information (e.g., research data, grant proposals, unpublished manuscripts, or analytical results) to a public AI tool is equivalent to releasing it publicly; thus, before any information from you or another individual is uploaded to a public AI tool, appropriate steps must be taken to ensure that the disclosure of that information is consistent with all rules and laws related to the handling of private information.","sourceSnapshotHash":"1d0574d903f2fa9e8a3ba569d78c5b12ea72edc7ddb380d583b8e02dfd808b72","reviewState":"agent_reviewed"}]},{"key":"academic_integrity","label":"Academic integrity","status":"not_mentioned","summary":"No source-backed public claim about academic-integrity treatment of AI use 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 AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.","basis":[]},{"key":"approved_tools","label":"Approved tools","status":"restricted","normalizedValue":"sensitive-information-requires-iso-dgog-approval","summary":"University of North Carolina at Chapel Hill has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.","explanation":"Whether public guidance identifies institutionally approved, licensed, procured, or enterprise AI tools. This restricted 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":["cl-unc-staff-sensitive-info-ai","cl-unc-ai-grading-accountability"],"evidenceSourceUrls":["https://ai.unc.edu/staff-generative-ai-usage-guidance/","https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.795,"evidenceCount":2,"sourceCount":2,"basis":[{"claimId":"cl-unc-staff-sensitive-info-ai","sourceUrl":"https://ai.unc.edu/staff-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Do not enter sensitive information (as defined by the UNC-Chapel Hill Information Classification Standard) into generative AI tools unless the University’s Information Security Office (ISO) has conducted a risk assessment of the generative AI tool and the University’s Data Governance Oversight Group (DGOG) has approved the tool to handle sensitive information.","sourceSnapshotHash":"64b070af83d482591b889995010e7d930ac98bf0bd79372f4cbfcd9411ef654d","reviewState":"agent_reviewed"},{"claimId":"cl-unc-ai-grading-accountability","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Faculty must ensure that any AI system used for grading or feedback is institutionally approved and compliant with data security and privacy standards. Uploading student work to consumer-grade AI platforms not contracted by the university is inconsistent with student privacy laws and university policy.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"}]},{"key":"named_ai_services","label":"Named AI services","status":"restricted","normalizedValue":"public-ai-inputs-treated-as-public-disclosure","summary":"University of North Carolina at Chapel Hill has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.","explanation":"Whether public guidance names AI services such as ChatGPT, Copilot, Claude, Gemini, Grammarly, or DeepSeek. This restricted 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":["cl-unc-research-public-ai-data"],"evidenceSourceUrls":["https://ai.unc.edu/research-generative-ai-usage-guidance/"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.791,"evidenceCount":1,"sourceCount":1,"basis":[{"claimId":"cl-unc-research-public-ai-data","sourceUrl":"https://ai.unc.edu/research-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Uploading information (e.g., research data, grant proposals, unpublished manuscripts, or analytical results) to a public AI tool is equivalent to releasing it publicly; thus, before any information from you or another individual is uploaded to a public AI tool, appropriate steps must be taken to ensure that the disclosure of that information is consistent with all rules and laws related to the handling of private information.","sourceSnapshotHash":"1d0574d903f2fa9e8a3ba569d78c5b12ea72edc7ddb380d583b8e02dfd808b72","reviewState":"agent_reviewed"}]},{"key":"teaching_guidance","label":"Teaching guidance","status":"recommended","normalizedValue":"student-right-to-instructor-review-of-ai-generated-grade","summary":"University of North Carolina at Chapel Hill 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":["cl-unc-ai-grading-human-review","cl-unc-ai-grading-accountability","cl-unc-research-scope","cl-unc-faculty-course-ai-guidance"],"evidenceSourceUrls":["https://ai.unc.edu/ai-guidance-for-faculty/","https://ai.unc.edu/research-generative-ai-usage-guidance/","https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.782,"evidenceCount":4,"sourceCount":3,"basis":[{"claimId":"cl-unc-ai-grading-human-review","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Students must be able to request a full instructor-led review if they disagree with an AI- generated grade or have concerns about automated feedback, without additional scrutiny, justification, or penalty.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"},{"claimId":"cl-unc-ai-grading-accountability","sourceUrl":"https://ai.unc.edu/wp-content/uploads/sites/1362/2026/03/Guidance-for-Faculty-Use-of-AI-in-Grading-and-Assessment-_Final.pdf","sourceLanguage":"en-US","evidenceSnippet":"Faculty must ensure that any AI system used for grading or feedback is institutionally approved and compliant with data security and privacy standards. Uploading student work to consumer-grade AI platforms not contracted by the university is inconsistent with student privacy laws and university policy.","sourceSnapshotHash":"9c6c27e19c1c5dfe8d213b415e8da4a6b30ff24294b9753613ca36da2ef4b0a6","reviewState":"agent_reviewed"},{"claimId":"cl-unc-research-scope","sourceUrl":"https://ai.unc.edu/research-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"This guidance applies to all members of the research community, including faculty, staff (SHRA and EHRA non-faculty), students (undergraduate, graduate and professional), guest researchers (e.g., unpaid volunteers, interns, and visiting scholars), collaborators, and consultants involved in research occurring under the auspices of the University.","sourceSnapshotHash":"1d0574d903f2fa9e8a3ba569d78c5b12ea72edc7ddb380d583b8e02dfd808b72","reviewState":"agent_reviewed"},{"claimId":"cl-unc-faculty-course-ai-guidance","sourceUrl":"https://ai.unc.edu/ai-guidance-for-faculty/","sourceLanguage":"en-US","evidenceSnippet":"Conveying your stance on students’ use of AI in your course is important; it clarifies your expectations and ensures that any use of AI supports rather than frustrates your learning objectives.","sourceSnapshotHash":"2e373948ed876e8ace7da6bd84ba95c4ca94ef56ed402524e0afa9e226cc7caa","reviewState":"agent_reviewed"}]},{"key":"research_guidance","label":"Research guidance","status":"restricted","normalizedValue":"public-ai-inputs-treated-as-public-disclosure","summary":"University of North Carolina at Chapel Hill has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.","explanation":"Whether public guidance addresses research use, publication ethics, research data, grants, or human-subjects compliance. This restricted 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":["cl-unc-research-public-ai-data","cl-unc-research-scope"],"evidenceSourceUrls":["https://ai.unc.edu/research-generative-ai-usage-guidance/"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.782,"evidenceCount":2,"sourceCount":1,"basis":[{"claimId":"cl-unc-research-public-ai-data","sourceUrl":"https://ai.unc.edu/research-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Uploading information (e.g., research data, grant proposals, unpublished manuscripts, or analytical results) to a public AI tool is equivalent to releasing it publicly; thus, before any information from you or another individual is uploaded to a public AI tool, appropriate steps must be taken to ensure that the disclosure of that information is consistent with all rules and laws related to the handling of private information.","sourceSnapshotHash":"1d0574d903f2fa9e8a3ba569d78c5b12ea72edc7ddb380d583b8e02dfd808b72","reviewState":"agent_reviewed"},{"claimId":"cl-unc-research-scope","sourceUrl":"https://ai.unc.edu/research-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"This guidance applies to all members of the research community, including faculty, staff (SHRA and EHRA non-faculty), students (undergraduate, graduate and professional), guest researchers (e.g., unpaid volunteers, interns, and visiting scholars), collaborators, and consultants involved in research occurring under the auspices of the University.","sourceSnapshotHash":"1d0574d903f2fa9e8a3ba569d78c5b12ea72edc7ddb380d583b8e02dfd808b72","reviewState":"agent_reviewed"}]},{"key":"security_procurement","label":"Security and procurement","status":"restricted","normalizedValue":"sensitive-information-requires-iso-dgog-approval","summary":"University of North Carolina at Chapel Hill has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.","explanation":"Whether public guidance addresses security review, procurement, vendor approval, risk assessment, authentication, SSO, or licensing. This restricted 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":["cl-unc-staff-sensitive-info-ai"],"evidenceSourceUrls":["https://ai.unc.edu/staff-generative-ai-usage-guidance/"],"sourceLanguages":["en-US"],"reviewState":"machine_candidate","confidence":0.799,"evidenceCount":1,"sourceCount":1,"basis":[{"claimId":"cl-unc-staff-sensitive-info-ai","sourceUrl":"https://ai.unc.edu/staff-generative-ai-usage-guidance/","sourceLanguage":"en-US","evidenceSnippet":"Do not enter sensitive information (as defined by the UNC-Chapel Hill Information Classification Standard) into generative AI tools unless the University’s Information Security Office (ISO) has conducted a risk assessment of the generative AI tool and the University’s Data Governance Oversight Group (DGOG) has approved the tool to handle sensitive information.","sourceSnapshotHash":"64b070af83d482591b889995010e7d930ac98bf0bd79372f4cbfcd9411ef654d","reviewState":"agent_reviewed"}]}],"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. \"University of North Carolina at Chapel Hill policy analysis profile.\" Version v1. https://eduaipolicy.org/universities/university-of-north-carolina-at-chapel-hill"}}