Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood response
Year: 2025
Type: article
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.
Language: English
Subfield: Communication
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,200
Awards: Verbundprojekt: Künstliche Intelligenz zur Analyse und Fusion von Erdbeobachtungs- und Internetdaten zur Entscheidungsunterstützung im Katastrophenschutz (AIFER) - Teilvorhaben: DLR - AI4EO Artificial Intelligence for Earth Observation, G1585467943, G160240183, G4015090843, G4090668127, G4310138260, G4961470898, G5987792135, Trusted Extremely Precise Mapping and Prediction for Emergency Management
OpenAlex ID: W4409017694