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MENTOR

Methodische Weiterentwicklung für das KI-System GRUVO, u.a. hinsichtlich automatisierter Erstellung von Grundwasserflurabstandsplänen (monatlich und für Vorhersagen). Dafür sollen u.a. sogenannte Entity-Aware Modelle mit 2D-CNN gekoppelt .

Source checked 18 Jul 2026, 22:41Original MaKI source ↗Data schema ki-verwaltungsradar.internal.v1
MaKI identifierBD20247911251AuthorityBundesanstalt für Geowissenschaften und RohstoffeStatusDevelopmentOpen original profile ↗
Evidence-backed dossier

MENTOR

Methodische Weiterentwicklung für das KI-System GRUVO, u.a. hinsichtlich automatisierter Erstellung von Grundwasserflurabstandsplänen (monatlich und für Vorhersagen). Dafür sollen u.a. sogenannte Entity-Aware Modelle mit 2D-CNN gekoppelt .

Development
Open original profile ↗
Authority
Bundesanstalt für Geowissenschaften und Rohstoffe
Administrative level
Federal
Ministry
Bundesministerium für Wirtschaft und Energie
Risk classification
Minimal riskSelf-reported in the MaKI profile, not an i6eal assessment
AI method
Deep Learning
Application area
Energie und Umwelt
Governance matrix

Published, planned or open

The matrix separates published information, planned reviews, non-required information and unknown fields. It deliberately has no composite score.

Risk classificationMinimales Risiko
Fundamental-rights reviewNicht erforderlich
Data-protection statementNicht erforderlich
Contractor useExtern
Intervention optionsEinbindung von Experten und Fachkräften in die Entscheidungsprozesse
Project linkNot published
Published context

Affected groups and risk measures

Affected groups
Nicht erforderlich
Risk measures
Nicht erforderlich
Described harm risks
Nicht erforderlich
Timeline

Project and publication dates

  1. Project start
  2. First published
  3. Last published
MaKI identifierBD20247911251
Evidence basispublished authority profile
Source state19 May 2026, 10:27
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