{"apiVersion":"v1","generatedAt":"2026-05-14T05:23:48.120Z","canonicalUrl":"https://eduaipolicy.org/universities/universitat-heidelberg","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":"Universität Heidelberg policy analysis profile","canonicalUrl":"https://eduaipolicy.org/universities/universitat-heidelberg","publicJsonUrl":"https://eduaipolicy.org/api/public/v1/analysis/universities/universitat-heidelberg.json","suggestedCitation":"University AI Policy Tracker. \"Universität Heidelberg policy analysis profile.\" Version v1. https://eduaipolicy.org/universities/universitat-heidelberg","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":"universitat-heidelberg","entityName":"Universität Heidelberg","canonicalUrl":"https://eduaipolicy.org/universities/universitat-heidelberg","publicJsonUrl":"https://eduaipolicy.org/api/public/v1/analysis/universities/universitat-heidelberg.json","generatedAt":"2026-05-13T13:03:54.000Z","basedOnClaimIds":["cl-hd-ai-data-entry-caution","cl-hd-ai-disclosure-study-work","cl-hd-ai-use-conditionally-allowed","cl-hd-doctoral-ai-disclosure","cl-hd-instructors-state-ai-rules","cl-hd-yoki-hosted-ai-platform"],"basedOnSourceUrls":["https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","https://www.graduateacademy.uni-heidelberg.de/promovieren/ai_en.html","https://www.urz.uni-heidelberg.de/de/forschung-und-lehre/kuenstliche-intelligenz-ki"],"sourceLanguages":["de","en"],"reviewState":"machine_candidate","confidence":0.769,"coverageScore":{"score":100,"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-hd-doctoral-ai-disclosure"],"reviewState":"machine_candidate"},{"key":"academic_integrity","label":"Academic integrity guidance","points":15,"maxPoints":15,"status":"required","evidenceClaimIds":["cl-hd-ai-disclosure-study-work"],"reviewState":"machine_candidate"},{"key":"ai_disclosure","label":"AI disclosure guidance","points":15,"maxPoints":15,"status":"required","evidenceClaimIds":["cl-hd-ai-disclosure-study-work","cl-hd-doctoral-ai-disclosure"],"reviewState":"machine_candidate"},{"key":"coursework","label":"Coursework guidance","points":10,"maxPoints":10,"status":"restricted","evidenceClaimIds":["cl-hd-ai-disclosure-study-work","cl-hd-ai-data-entry-caution","cl-hd-instructors-state-ai-rules","cl-hd-yoki-hosted-ai-platform"],"reviewState":"machine_candidate"},{"key":"exams","label":"Exam or assessment guidance","points":10,"maxPoints":10,"status":"restricted","evidenceClaimIds":["cl-hd-ai-disclosure-study-work","cl-hd-ai-use-conditionally-allowed","cl-hd-instructors-state-ai-rules","cl-hd-yoki-hosted-ai-platform"],"reviewState":"machine_candidate"},{"key":"privacy_data_entry","label":"Privacy or data-entry guidance","points":15,"maxPoints":15,"status":"restricted","evidenceClaimIds":["cl-hd-ai-data-entry-caution"],"reviewState":"machine_candidate"},{"key":"approved_tools","label":"Approved tools, procurement, or licensed tools","points":10,"maxPoints":10,"status":"required","evidenceClaimIds":["cl-hd-ai-use-conditionally-allowed","cl-hd-yoki-hosted-ai-platform"],"reviewState":"machine_candidate"},{"key":"teaching_guidance","label":"Teaching or research guidance","points":10,"maxPoints":10,"status":"recommended","evidenceClaimIds":["cl-hd-ai-use-conditionally-allowed","cl-hd-ai-data-entry-caution","cl-hd-instructors-state-ai-rules"],"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":"doctoral_ai_use_requires_disclosure_and_remains_assistive","summary":"Universität Heidelberg has 1 source-backed public claim 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 1 supporting public claim. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["cl-hd-doctoral-ai-disclosure"],"evidenceSourceUrls":["https://www.graduateacademy.uni-heidelberg.de/promovieren/ai_en.html"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.765,"evidenceCount":1,"sourceCount":1,"basis":[{"claimId":"cl-hd-doctoral-ai-disclosure","sourceUrl":"https://www.graduateacademy.uni-heidelberg.de/promovieren/ai_en.html","sourceLanguage":"en","evidenceSnippet":"The use of AI tools must be explicitly disclosed, specifying when, where, why, and to what extent they were employed in the preparation of the dissertation. AI tools must be used as assistive instruments, not as substitutes for independent intellectual work, critical thinking, or scholarly judgment.","sourceSnapshotHash":"b26f13c210d110b0ef164fbf0b2721419f1c10b9c72f305204336b98674f2bfd","reviewState":"agent_reviewed"}]},{"key":"ai_disclosure","label":"AI disclosure","status":"required","normalizedValue":"ai_use_disclosure_required_for_study_work","summary":"Universität Heidelberg has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.","explanation":"Whether public guidance addresses disclosure, acknowledgement, citation, or declaration of AI use. This required 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-hd-ai-disclosure-study-work","cl-hd-doctoral-ai-disclosure"],"evidenceSourceUrls":["https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","https://www.graduateacademy.uni-heidelberg.de/promovieren/ai_en.html"],"sourceLanguages":["de","en"],"reviewState":"machine_candidate","confidence":0.778,"evidenceCount":2,"sourceCount":2,"basis":[{"claimId":"cl-hd-ai-disclosure-study-work","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Studierende müssen für alle Studienarbeiten eine Eigenständigkeits- und Kennzeichnungserklärung abgeben, die den Einsatz von KI-Werkzeugen offenlegt. Diese Kennzeichnungspflicht gilt für Text/Textteile, Bilder, Videos und Musikstücke sowie alle anderen Elemente, für deren Erstellung KI verwendet wurde. Eine Übersicht der genutzten KI-Tools und deren Verwendungszweck ist verpflichtend.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-doctoral-ai-disclosure","sourceUrl":"https://www.graduateacademy.uni-heidelberg.de/promovieren/ai_en.html","sourceLanguage":"en","evidenceSnippet":"The use of AI tools must be explicitly disclosed, specifying when, where, why, and to what extent they were employed in the preparation of the dissertation. AI tools must be used as assistive instruments, not as substitutes for independent intellectual work, critical thinking, or scholarly judgment.","sourceSnapshotHash":"b26f13c210d110b0ef164fbf0b2721419f1c10b9c72f305204336b98674f2bfd","reviewState":"agent_reviewed"}]},{"key":"coursework","label":"Coursework","status":"restricted","normalizedValue":"ai_use_disclosure_required_for_study_work","summary":"Universität Heidelberg has 4 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 4 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["cl-hd-ai-disclosure-study-work","cl-hd-ai-data-entry-caution","cl-hd-instructors-state-ai-rules","cl-hd-yoki-hosted-ai-platform"],"evidenceSourceUrls":["https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","https://www.urz.uni-heidelberg.de/de/forschung-und-lehre/kuenstliche-intelligenz-ki"],"sourceLanguages":["de"],"reviewState":"machine_candidate","confidence":0.765,"evidenceCount":4,"sourceCount":2,"basis":[{"claimId":"cl-hd-ai-disclosure-study-work","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Studierende müssen für alle Studienarbeiten eine Eigenständigkeits- und Kennzeichnungserklärung abgeben, die den Einsatz von KI-Werkzeugen offenlegt. Diese Kennzeichnungspflicht gilt für Text/Textteile, Bilder, Videos und Musikstücke sowie alle anderen Elemente, für deren Erstellung KI verwendet wurde. Eine Übersicht der genutzten KI-Tools und deren Verwendungszweck ist verpflichtend.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-ai-data-entry-caution","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Lehrende und Studierende sollten bei der Nutzung von KI darauf achten, dass keine sensiblen, personenbezogenen oder vertraulichen Daten sowie urheberrechtlich geschützte Texte/Textteile in KI-Systeme eingegeben werden, die diese Daten außerhalb der Infrastruktur der Universität Heidelberg speichern oder verarbeiten könnten.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-instructors-state-ai-rules","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Lehrende sind dazu angehalten, den KI-Einsatz entsprechend den Lernzielen zu gestalten und die Studierenden über erlaubte und unerlaubte Anwendungen zu informieren.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-yoki-hosted-ai-platform","sourceUrl":"https://www.urz.uni-heidelberg.de/de/forschung-und-lehre/kuenstliche-intelligenz-ki","sourceLanguage":"de","evidenceSnippet":"Um Beschäftigten, Studierenden und Forschenden einen sicheren Zugang zu generativen KI-Modellen zu gewährleisten und diese im Arbeitsalltag konstruktiv zu integrieren, entwickelt und hostet das URZ eigene KI-Intrastruktur und setzt Open-Source-Produkte ein. Über die KI-Plattform YoKI können Universitätsmitglieder aus verschiedenen großen Sprachmodellen auswählen.","sourceSnapshotHash":"abe4acc5783f30054efd92698b2e85862a23177c2d35393e499ce3dd50494a63","reviewState":"agent_reviewed"}]},{"key":"exams","label":"Exams","status":"restricted","normalizedValue":"ai_use_disclosure_required_for_study_work","summary":"Universität Heidelberg has 4 source-backed public claims for exams; deterministic analysis status: restricted.","explanation":"Whether public guidance addresses exams, tests, quizzes, or examination conditions. This restricted 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-hd-ai-disclosure-study-work","cl-hd-ai-use-conditionally-allowed","cl-hd-instructors-state-ai-rules","cl-hd-yoki-hosted-ai-platform"],"evidenceSourceUrls":["https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","https://www.urz.uni-heidelberg.de/de/forschung-und-lehre/kuenstliche-intelligenz-ki"],"sourceLanguages":["de"],"reviewState":"machine_candidate","confidence":0.769,"evidenceCount":4,"sourceCount":2,"basis":[{"claimId":"cl-hd-ai-disclosure-study-work","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Studierende müssen für alle Studienarbeiten eine Eigenständigkeits- und Kennzeichnungserklärung abgeben, die den Einsatz von KI-Werkzeugen offenlegt. Diese Kennzeichnungspflicht gilt für Text/Textteile, Bilder, Videos und Musikstücke sowie alle anderen Elemente, für deren Erstellung KI verwendet wurde. Eine Übersicht der genutzten KI-Tools und deren Verwendungszweck ist verpflichtend.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-ai-use-conditionally-allowed","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Die Nutzung von KI und Sprachmodellen (LLMs) wie ChatGPT, DeepL oder anderen Werkzeugen ist im Studium und in der Lehre an der UHD grundsätzlich erlaubt. Die spezifische Anwendung muss mit den Prüfer:innen und Lehrenden abgestimmt werden. Zentral ist, dass ein eigenständiger Charakter der Leistung gewahrt bleibt.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-instructors-state-ai-rules","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Lehrende sind dazu angehalten, den KI-Einsatz entsprechend den Lernzielen zu gestalten und die Studierenden über erlaubte und unerlaubte Anwendungen zu informieren.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-yoki-hosted-ai-platform","sourceUrl":"https://www.urz.uni-heidelberg.de/de/forschung-und-lehre/kuenstliche-intelligenz-ki","sourceLanguage":"de","evidenceSnippet":"Um Beschäftigten, Studierenden und Forschenden einen sicheren Zugang zu generativen KI-Modellen zu gewährleisten und diese im Arbeitsalltag konstruktiv zu integrieren, entwickelt und hostet das URZ eigene KI-Intrastruktur und setzt Open-Source-Produkte ein. Über die KI-Plattform YoKI können Universitätsmitglieder aus verschiedenen großen Sprachmodellen auswählen.","sourceSnapshotHash":"abe4acc5783f30054efd92698b2e85862a23177c2d35393e499ce3dd50494a63","reviewState":"agent_reviewed"}]},{"key":"privacy_data_entry","label":"Privacy and data entry","status":"restricted","normalizedValue":"avoid_sensitive_personal_confidential_or_copyrighted_text_in_external_ai_systems","summary":"Universität Heidelberg has 1 source-backed public claim 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 1 supporting public claim. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["cl-hd-ai-data-entry-caution"],"evidenceSourceUrls":["https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download"],"sourceLanguages":["de"],"reviewState":"machine_candidate","confidence":0.765,"evidenceCount":1,"sourceCount":1,"basis":[{"claimId":"cl-hd-ai-data-entry-caution","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Lehrende und Studierende sollten bei der Nutzung von KI darauf achten, dass keine sensiblen, personenbezogenen oder vertraulichen Daten sowie urheberrechtlich geschützte Texte/Textteile in KI-Systeme eingegeben werden, die diese Daten außerhalb der Infrastruktur der Universität Heidelberg speichern oder verarbeiten könnten.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"}]},{"key":"academic_integrity","label":"Academic integrity","status":"required","normalizedValue":"ai_use_disclosure_required_for_study_work","summary":"Universität Heidelberg has 1 source-backed public claim for academic integrity; deterministic analysis status: required.","explanation":"Whether public guidance connects AI use to academic integrity, misconduct, dishonesty, plagiarism, or cheating rules. This required 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-hd-ai-disclosure-study-work"],"evidenceSourceUrls":["https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download"],"sourceLanguages":["de"],"reviewState":"machine_candidate","confidence":0.791,"evidenceCount":1,"sourceCount":1,"basis":[{"claimId":"cl-hd-ai-disclosure-study-work","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Studierende müssen für alle Studienarbeiten eine Eigenständigkeits- und Kennzeichnungserklärung abgeben, die den Einsatz von KI-Werkzeugen offenlegt. Diese Kennzeichnungspflicht gilt für Text/Textteile, Bilder, Videos und Musikstücke sowie alle anderen Elemente, für deren Erstellung KI verwendet wurde. Eine Übersicht der genutzten KI-Tools und deren Verwendungszweck ist verpflichtend.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"}]},{"key":"approved_tools","label":"Approved tools","status":"required","normalizedValue":"generally_allowed_with_examiner_or_instructor_rules","summary":"Universität Heidelberg has 2 source-backed public claims for approved tools; deterministic analysis status: required.","explanation":"Whether public guidance identifies institutionally approved, licensed, procured, or enterprise AI tools. This required 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-hd-ai-use-conditionally-allowed","cl-hd-yoki-hosted-ai-platform"],"evidenceSourceUrls":["https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","https://www.urz.uni-heidelberg.de/de/forschung-und-lehre/kuenstliche-intelligenz-ki"],"sourceLanguages":["de"],"reviewState":"machine_candidate","confidence":0.761,"evidenceCount":2,"sourceCount":2,"basis":[{"claimId":"cl-hd-ai-use-conditionally-allowed","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Die Nutzung von KI und Sprachmodellen (LLMs) wie ChatGPT, DeepL oder anderen Werkzeugen ist im Studium und in der Lehre an der UHD grundsätzlich erlaubt. Die spezifische Anwendung muss mit den Prüfer:innen und Lehrenden abgestimmt werden. Zentral ist, dass ein eigenständiger Charakter der Leistung gewahrt bleibt.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-yoki-hosted-ai-platform","sourceUrl":"https://www.urz.uni-heidelberg.de/de/forschung-und-lehre/kuenstliche-intelligenz-ki","sourceLanguage":"de","evidenceSnippet":"Um Beschäftigten, Studierenden und Forschenden einen sicheren Zugang zu generativen KI-Modellen zu gewährleisten und diese im Arbeitsalltag konstruktiv zu integrieren, entwickelt und hostet das URZ eigene KI-Intrastruktur und setzt Open-Source-Produkte ein. Über die KI-Plattform YoKI können Universitätsmitglieder aus verschiedenen großen Sprachmodellen auswählen.","sourceSnapshotHash":"abe4acc5783f30054efd92698b2e85862a23177c2d35393e499ce3dd50494a63","reviewState":"agent_reviewed"}]},{"key":"named_ai_services","label":"Named AI services","status":"restricted","normalizedValue":"generally_allowed_with_examiner_or_instructor_rules","summary":"Universität Heidelberg has 3 source-backed public claims 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 3 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["cl-hd-ai-use-conditionally-allowed","cl-hd-ai-data-entry-caution","cl-hd-yoki-hosted-ai-platform"],"evidenceSourceUrls":["https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","https://www.urz.uni-heidelberg.de/de/forschung-und-lehre/kuenstliche-intelligenz-ki"],"sourceLanguages":["de"],"reviewState":"machine_candidate","confidence":0.762,"evidenceCount":3,"sourceCount":2,"basis":[{"claimId":"cl-hd-ai-use-conditionally-allowed","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Die Nutzung von KI und Sprachmodellen (LLMs) wie ChatGPT, DeepL oder anderen Werkzeugen ist im Studium und in der Lehre an der UHD grundsätzlich erlaubt. Die spezifische Anwendung muss mit den Prüfer:innen und Lehrenden abgestimmt werden. Zentral ist, dass ein eigenständiger Charakter der Leistung gewahrt bleibt.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-ai-data-entry-caution","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Lehrende und Studierende sollten bei der Nutzung von KI darauf achten, dass keine sensiblen, personenbezogenen oder vertraulichen Daten sowie urheberrechtlich geschützte Texte/Textteile in KI-Systeme eingegeben werden, die diese Daten außerhalb der Infrastruktur der Universität Heidelberg speichern oder verarbeiten könnten.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-yoki-hosted-ai-platform","sourceUrl":"https://www.urz.uni-heidelberg.de/de/forschung-und-lehre/kuenstliche-intelligenz-ki","sourceLanguage":"de","evidenceSnippet":"Um Beschäftigten, Studierenden und Forschenden einen sicheren Zugang zu generativen KI-Modellen zu gewährleisten und diese im Arbeitsalltag konstruktiv zu integrieren, entwickelt und hostet das URZ eigene KI-Intrastruktur und setzt Open-Source-Produkte ein. Über die KI-Plattform YoKI können Universitätsmitglieder aus verschiedenen großen Sprachmodellen auswählen.","sourceSnapshotHash":"abe4acc5783f30054efd92698b2e85862a23177c2d35393e499ce3dd50494a63","reviewState":"agent_reviewed"}]},{"key":"teaching_guidance","label":"Teaching guidance","status":"recommended","normalizedValue":"generally_allowed_with_examiner_or_instructor_rules","summary":"Universität Heidelberg has 3 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 3 supporting public claims. Review the basis array before reusing this as a policy conclusion.","evidenceClaimIds":["cl-hd-ai-use-conditionally-allowed","cl-hd-ai-data-entry-caution","cl-hd-instructors-state-ai-rules"],"evidenceSourceUrls":["https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download"],"sourceLanguages":["de"],"reviewState":"machine_candidate","confidence":0.771,"evidenceCount":3,"sourceCount":1,"basis":[{"claimId":"cl-hd-ai-use-conditionally-allowed","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Die Nutzung von KI und Sprachmodellen (LLMs) wie ChatGPT, DeepL oder anderen Werkzeugen ist im Studium und in der Lehre an der UHD grundsätzlich erlaubt. Die spezifische Anwendung muss mit den Prüfer:innen und Lehrenden abgestimmt werden. Zentral ist, dass ein eigenständiger Charakter der Leistung gewahrt bleibt.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-ai-data-entry-caution","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Lehrende und Studierende sollten bei der Nutzung von KI darauf achten, dass keine sensiblen, personenbezogenen oder vertraulichen Daten sowie urheberrechtlich geschützte Texte/Textteile in KI-Systeme eingegeben werden, die diese Daten außerhalb der Infrastruktur der Universität Heidelberg speichern oder verarbeiten könnten.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"},{"claimId":"cl-hd-instructors-state-ai-rules","sourceUrl":"https://backend.heiskills.uni-heidelberg.de/de/dokumente/ki-leitlinie-de/download","sourceLanguage":"de","evidenceSnippet":"Lehrende sind dazu angehalten, den KI-Einsatz entsprechend den Lernzielen zu gestalten und die Studierenden über erlaubte und unerlaubte Anwendungen zu informieren.","sourceSnapshotHash":"0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd","reviewState":"agent_reviewed"}]},{"key":"research_guidance","label":"Research guidance","status":"recommended","normalizedValue":"doctoral_ai_use_requires_disclosure_and_remains_assistive","summary":"Universität Heidelberg 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":["cl-hd-doctoral-ai-disclosure"],"evidenceSourceUrls":["https://www.graduateacademy.uni-heidelberg.de/promovieren/ai_en.html"],"sourceLanguages":["en"],"reviewState":"machine_candidate","confidence":0.765,"evidenceCount":1,"sourceCount":1,"basis":[{"claimId":"cl-hd-doctoral-ai-disclosure","sourceUrl":"https://www.graduateacademy.uni-heidelberg.de/promovieren/ai_en.html","sourceLanguage":"en","evidenceSnippet":"The use of AI tools must be explicitly disclosed, specifying when, where, why, and to what extent they were employed in the preparation of the dissertation. AI tools must be used as assistive instruments, not as substitutes for independent intellectual work, critical thinking, or scholarly judgment.","sourceSnapshotHash":"b26f13c210d110b0ef164fbf0b2721419f1c10b9c72f305204336b98674f2bfd","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. \"Universität Heidelberg policy analysis profile.\" Version v1. https://eduaipolicy.org/universities/universitat-heidelberg"}}