[{"data":1,"prerenderedAt":210},["ShallowReactive",2],{"ki-verwaltungsradar-profile-maki-bd20248815688":3},{"schemaVersion":4,"dataset":5,"generatedAt":6,"checkedAt":6,"trackingSince":7,"sourceSnapshot":8,"methodology":20,"coverage":31,"summary":38,"caveats":89,"systems":112},"ki-verwaltungsradar.internal.v1","german-public-administration-ai-system-register","2026-07-19T03:22:04.550Z","2024-10-01T05:06:05.000Z",{"id":9,"provider":10,"sourceNature":11,"projectionVisibility":12,"url":13,"profileUrl":13,"dataUrl":14,"observedAt":6,"maxSourceUpdatedAt":15,"recordCount":16,"fingerprint":17,"redistributionTerms":18,"bulkDownloadEnabled":19},"maki-ai-systems","MaKI","self_reported_public_register","application_internal","https:\u002F\u002Fmaki.kimarktplatz.bund.de\u002Fa\u002Fbmi-makimo-app?kiosk","https:\u002F\u002Fmaki.kimarktplatz.bund.de\u002Fapi\u002Fdatasources\u002Fproxy\u002Fuid\u002Fbeki-ai-systems\u002F","2026-07-17T10:33:55.000Z",350,"sha256:2890034b6573f3ff7f9adc61a6c37f439721fb01b56be1795886cc5ef8a3c4c4","not_verified",false,{"automation":21,"generativeAiClassification":19,"entityResolution":22,"identityKey":23,"geographicEnrichment":24,"statusTransitions":25,"absenceTreatment":26,"riskSemantics":27,"governanceSemantics":28,"contactDataPolicy":29,"unsafeLinkPolicy":30},"deterministic_allowlist_projection","none","exact_maki_project_id","controlled_source_state_label_to_bkg_state_id","explicit_source_status_only","not_interpreted_as_retirement","source_self_reported_not_legal_assessment","source_self_reported_not_compliance_assessment","hard_excluded","https_public_hosts_only",{"sourceRows":16,"normalizedSystems":16,"suppressedUnpublishedRows":32,"suppressedConfidentialRows":32,"suppressedContactFields":32,"suppressedUnsafeUrls":32,"withRiskClassification":33,"withMethods":34,"withWebsite":35,"withFundamentalRightsStatus":36,"withDataProtectionStatus":37},0,289,304,72,258,279,{"totalSystems":16,"uniqueAuthorityLabels":39,"statusCounts":40,"administrationLevelCounts":46,"riskCounts":50,"representedStates":55},98,{"idea":41,"planning_poc":42,"development":43,"operational":44,"retired":45},46,48,104,144,8,{"federal":47,"state":48,"municipal":49},268,22,60,{"minimal":51,"limited":52,"high":53,"notReported":54},221,64,4,61,[56,60,64,67,70,73,76,80,83,86],{"id":57,"name":58,"sourceLabel":58,"basis":59},"01","Schleswig-Holstein","controlled_source_label_to_bkg_state_id",{"id":61,"name":62,"sourceLabel":63,"basis":59},"02","Hamburg","Hamburg (Hansestadt)",{"id":65,"name":66,"sourceLabel":66,"basis":59},"03","Niedersachsen",{"id":68,"name":69,"sourceLabel":69,"basis":59},"05","Nordrhein-Westfalen",{"id":71,"name":72,"sourceLabel":72,"basis":59},"07","Rheinland-Pfalz",{"id":74,"name":75,"sourceLabel":75,"basis":59},"08","Baden-Württemberg",{"id":77,"name":78,"sourceLabel":79,"basis":59},"09","Bayern","Bayern (Freistaat)",{"id":81,"name":82,"sourceLabel":82,"basis":59},"10","Saarland",{"id":84,"name":85,"sourceLabel":85,"basis":59},"13","Mecklenburg-Vorpommern",{"id":87,"name":88,"sourceLabel":88,"basis":59},"15","Sachsen-Anhalt",[90,97,100,105,108],{"code":91,"appliesTo":92},"source_self_reported",[93,94,95,96],"status","risk","governance","sustainability",{"code":98,"appliesTo":99},"no_legal_or_compliance_assessment",[94,95],{"code":101,"appliesTo":102},"no_cross_dataset_entity_resolution",[103,104],"authority","system",{"code":106,"appliesTo":107},"missing_record_is_not_retirement_evidence",[93],{"code":109,"appliesTo":110},"redistribution_terms_unverified",[111],"bulk_download",[113],{"id":114,"slug":115,"sourceRecordId":116,"sourceProfileId":117,"name":118,"language":119,"status":123,"description":126,"authority":129,"classification":138,"governance":150,"operations":163,"sustainability":184,"dates":194,"website":128,"unknownFields":200,"provenance":207},"maki:BD20248815688","maki-bd20248815688","BD20248815688","4131","AlKaDeL",{"code":120,"sourceLabel":121,"basis":122},"de","Deutsch","source_self_reported_maki",{"code":124,"sourceLabel":125,"basis":122},"development","In Entwicklung",{"short":127,"details":128,"dataBasis":128},"In diesem Projekt wird ein moderner datengetriebener Ansatz auf Basis von Deep Learning zur Modellierung des Abflusses von alpinen Karstquellen entwickelt. Für das Dachsteingebirge - welches wesentlich zur Wasserversorgung und Energieerzeugung beiträgt - wird für eine vergleichende Untersuchung ein physikalisch basiertes 3D-Modell eingesetzt. Die entwickelten Modelle sollen zur langfristigen Prognose der Karstquellschüttungen in der EUSALP-Region genutzt werden.",null,{"name":130,"level":131,"state":128,"ministry":134,"role":135},"Bundesanstalt für Geowissenschaften und Rohstoffe",{"code":132,"sourceLabel":133,"basis":122},"federal","Bundesverwaltung","Bundesministerium für Wirtschaft und Energie",{"code":136,"sourceLabel":137,"basis":122},"future_operator","(Zukünftiger) Betreiber",{"methods":139,"sectors":142,"risk":144,"riskDescription":128,"aiActRegistration":147},[140,141],"Deep Learning","Expertensystem",[143],"Energie und Umwelt",{"code":145,"sourceLabel":146,"basis":122},"minimal","Minimales Risiko",{"code":148,"sourceLabel":149,"basis":122},"not_applicable","Nicht zutreffend",{"fundamentalRights":151,"dataProtection":161},{"status":152,"assessment":128,"reviewPeriod":155,"affectedGroups":156,"interventionOptions":157,"riskMeasures":159,"damageRisks":160},{"code":153,"sourceLabel":154,"basis":122},"not_required","Nicht erforderlich",{"sourceLabel":154,"basis":122},{"sourceLabel":154,"basis":122},{"sourceLabel":158,"basis":122},"Einbindung von Experten und Fachkräften in die Entscheidungsprozesse",{"sourceLabel":154,"basis":122},{"sourceLabel":154,"basis":122},{"status":162,"summary":128},{"code":153,"sourceLabel":154,"basis":122},{"contractorUse":164,"cooperation":167,"geographicScope":173,"licenseText":180,"bestPracticeClaim":181},{"codes":165,"sourceLabel":166,"basis":122},[22],"Keine",{"codes":168,"sourceLabel":172,"basis":122},[169,170,171],"business","science","public_administration","Ja, mit Partnern aus der Wirtschaft, Ja, mit Partnern aus der Wissenschaft, Ja, mit Partnern aus der Öffentlichen Verwaltung",[174,175,176,177,178,179],"Andere geografische Gebiete","Deutschland","Frankreich","Italien","Slowenien","Österreich","ML-Modelle zur Vorhersage von Karstquellschüttungen; Quelloffen \u002F öffentlich verfügbar",{"code":182,"sourceLabel":183,"basis":122},"no","Nein",{"model":128,"energy":185,"renewableEnergy":187,"technical":189,"reuse":192,"retirement":193},{"sourceLabel":186,"basis":122},"Wurde nicht betrachtet",{"code":188,"sourceLabel":186,"basis":122},"not_considered",{"code":190,"sourceLabel":191,"basis":122},"yes","Ja",{"code":190,"sourceLabel":191,"basis":122},{"code":188,"sourceLabel":186,"basis":122},{"projectStart":195,"created":196,"firstPublished":197,"lastPublished":198,"sourceLastChanged":199},"2025-01-01","2024-11-20T13:50:44.000Z","2025-10-30T16:39:07.000Z","2026-05-19T08:28:51.000Z","2026-05-12T14:53:54.000Z",[201,202,203,204,205,206],"description.details","description.dataBasis","governance.fundamentalRights.assessment","governance.dataProtection.summary","sustainability.model","website",{"dataset":9,"recordId":116,"sourceUrl":13,"profileUrl":208,"sourceUpdatedAt":198,"observedAt":6,"fingerprint":209},"https:\u002F\u002Fmaki.kimarktplatz.bund.de\u002Fa\u002Fbmi-makimo-app\u002Fsteckbriefe\u002F4131","sha256:8853af000e55bb883b0855d9ab765c717ed9201511e8bf276923ac02c50f1b43",1784431478908]