Dr Kwok Chun Kwok.Chun@uwe.ac.uk
Lecturer in Environmental Managment
Thanti Octavianti Thanti.Octavianti@uwe.ac.uk
Senior Lecturer in Applied Geography
Nilay Dogulu
Hristos Tyralis
Georgia Papacharalampous
Ryan Rowberry
Pingyu Fan
Mark Everard Mark.Everard@uwe.ac.uk
Associate Professor in Ecosystem Services
Maria Francesch-Huidobro
Wellington Migliari
David M. Hannah
John Travis Marshall
Rafael Tolosana Calasanz
Chad Staddon Chad.Staddon@uwe.ac.uk
Professor/Associate Head of Department: Research and Scholarship
Ida Ansharyani
Bastien Dieppois
Todd R Lewis
Juli Ponce
Silvia Ibrean
Tiago Miguel Ferreira
Chinkie Peliño-Golle
Ye Mu
Manuel Davila Delgado Manuel.Daviladelgado@uwe.ac.uk
Associate Professor - AR/VR Development with Artificial Intelligence
Elizabeth Silvestre Espinoza
Martin Keulertz
Dr. Deepak Gopinath Deepak.Gopinath@uwe.ac.uk
Associate Director Planning & Sustainable Change
Cheng Li
Abstract
Managing complex disaster risks requires interdisciplinary efforts. Breaking down silos between law, social sciences, and natural sciences is critical for all processes of disaster risk reduction. It is essential to explore how AI enhances understanding of legal frameworks and environmental management, while also examining how legal and environmental factors may limit AI’s role in the society. From a co-production review perspective, drawing on insights from lawyers, social scientists, and environmental scientists, principles for responsible data mining are proposed based on safety, transparency, fairness, accountability, and contestability. This discussion offers a blueprint for interdisciplinary collaboration to create adaptive law systems based on AI integration of knowledge from environmental and social sciences. When social networks are useful for mitigating disaster risks based on AI, the legal implications related to privacy and liability of the outcomes of disaster management must be considered. Fair and accountable principles emphasise environmental considerations and foster socioeconomic discussions related to public engagement. AI also has an important role to play in education, bringing together the next generations of law, social sciences, and natural sciences to work on interdisciplinary solutions in harmony. Although emerging AI approaches can be powerful tools for disaster management, they must be implemented with ethical considerations and safeguards to address concerns about bias, transparency, and privacy. The responsible execution of AI approaches, based on the dynamic interplay between AI, law, and environmental risk, promotes sustainable and equitable practices in data mining.
Journal Article Type
Article
Acceptance Date
Mar 20, 2025
Deposit Date
Mar 28, 2025
Print ISSN
1384-5810
Electronic ISSN
1573-756X
Publisher
Springer Verlag
Peer Reviewed
Peer Reviewed
Keywords
disaster risk reduction, artificial intelligence, interdisciplinary, law, public engagement, growth
