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

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.

Authors

Institutions

Publication Details

Journal
International Journal of Disaster Risk Reduction
Published
2025-03-31
DOI
https://doi.org/10.1016/j.ijdrr.2025.105441
Citations
4
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
4.42

Funders

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article

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

Bernd Resch, Joseph Wagner, Marc Wieland, Sebastian Schmidt et al.
4 citations
International Journal of Disaster Risk Reduction
Flood Risk Assessment and Management
4.42
article

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

Bernd Resch, Joseph Wagner, Marc Wieland, Sebastian Schmidt, Gudrun Ringler, Carolin Gilga, Luisa Knoche, Christoph Hochwarter
article en
4 citations

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.

International Journal of Disaster Risk ReductionVol. 122
University of Kassel (DE), Federal Network Agency (DE), University of Salzburg (AT), Federal Agency for Nature Conservation (DE), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Institute for Interdisciplinary Studies of Austrian Universities (AT), Ludwig Boltzmann Institute of Fundamental and Human Rights (AT), Institute for Social Anthropology (AT), Forschungs- und Beratungsstelle Arbeitswelt (AT), Center for Policy Analysis (US), Interdisciplinary Transformation University Austria (AT), Inholland University of Applied Sciences (NL), Delft University of Technology (NL)
European Commission, Bundesministerium für Bildung und Forschung, Österreichische Forschungsförderungsgesellschaft, HORIZON EUROPE Framework Programme
Climate action
Openalex Percentile: Top 6%
Flood Risk Assessment and Management
4.42
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