The seminar takes place essentially as a block seminar at the end of the semester. Before that, however, introductory appointments and individual topic meetings must be attended.
The convergence of artificial intelligence (AI) and geospatial data and technologies has pushed geoscience and remote sensing into a new era of advanced capabilities. AI’s transformative impact on geospatial data analysis offers powerful opportunities to address global challenges such as environmental monitoring, disaster response, and climate change. Yet, the rapid adoption of AI also demands a critical focus on the responsible use of these technologies spanning the entire processing chain from data acquisition and preprocessing to knowledge discovery and decision-making.This block seminar examines the intersection of AI and geosciences through the lens of responsible AI practices. Leading experts will deliver lectures on key topics including geoprivacy preservation, responsible foundation models, uncertainty modeling, explainability, and AI security. Students will propose their own relevant projects (subject to approval), present their progress in a short mid-term presentation, and deliver a final presentation accompanied by a small project report. Through a mix of theory, expert insights, and hands-on work, participants will gain a comprehensive understanding of responsible AI in geoscience and geospatial applications.
The course will be given in English.
Vertiefungsschwerpunkt: Daten- und Wissensmanagement
Die Veranstaltung wurde 1 mal im Vorlesungsverzeichnis SoSe 2026 gefunden:
