TY - JOUR
T1 - Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood response
AU - Gilga, Carolin
AU - Hochwarter, Christoph
AU - Knoche, Luisa
AU - Schmidt, Sebastian
AU - Ringler, Gudrun
AU - Wieland, Marc
AU - Resch, Bernd
AU - Wagner, Ben
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Data privacy
KW - Disaster response
KW - Ethics
UR - http://www.scopus.com/inward/record.url?scp=105001848581&partnerID=8YFLogxK
U2 - 10.1016/j.ijdrr.2025.105441
DO - 10.1016/j.ijdrr.2025.105441
M3 - Article
AN - SCOPUS:105001848581
SN - 2212-4209
VL - 122
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
M1 - 105441
ER -