Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood response

Carolin Gilga, Christoph Hochwarter, Luisa Knoche, Sebastian Schmidt*, Gudrun Ringler, Marc Wieland, Bernd Resch, Ben Wagner

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

During a disaster, the timely provision of customised and relevant data is of utmost importance. In the case of floods, data from remote sensing (satellite-based or airborne) is often used, but in recent years data from social media platforms has also been increasingly utilised. Focusing on these data sources, this study provides an in-depth assessment of requirements by emergency responders. Furthermore, the paper sheds light on the legal and ethical considerations that need to be taken into account during data collection and processing. A particular focus lies on the use of artificial intelligence (AI) for data analysis in disaster response. Topics such as privacy preservation and AI-informed decision making are highlighted throughout the paper. The investigation was carried out based on expert interviews with scientists, an extensive literature review, and workshops with emergency responders.
Original languageEnglish
Article number105441
Number of pages13
JournalInternational Journal of Disaster Risk Reduction
Volume122
DOIs
Publication statusPublished - 2025

Keywords

  • Artificial intelligence
  • Data privacy
  • Disaster response
  • Ethics

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