Responsible AI for natural hazards assessment and management
By addressing biases, safeguarding data privacy, and upholding principles of fairness, responsible AI strengthens resilience, reduces vulnerabilities, and supports sustainable recovery efforts. For the community engaged in natural hazard research and management, AI offers transformative yet ethically complex capabilities. Given the significant impact of AI-driven decisions on people's lives, particularly in vulnerable settings, fostering dialogue on responsible and ethical AI practices is critical. The aim is to ensure that AI technologies not only enhance efficiency but also align with fundamental human values, advancing equitable and sustainable solutions. In this session, we will discuss the challenges and opportunities of responsible AI for natural hazards assessment and management from different perspectives. The session consists of a panel discussion.
Panelists are:
• Yao Sun, German Aerospace Center, Photogrammetry and Image Analysis, Oberpfaffenhofen, Germany
• Bruce Malamud, Institute of Hazard, Risk and Resilience, Durham University, Durham, UK
• Jean Baptist Bove, Italian Red Cross, Italy
• Gabriella Duca, Fondazione ISSNOVA Institute for Sustainable Society and Innovation, Naples, Italy
• Juha-Pekka Jäpölä, Directorate-General for European Civil Protection and Humanitarian Aid Operations (ECHO), Brussels, Belgium
Session assets
14:00–14:05
5-minute convener introduction
14:05–14:30
Opening statement by each panelist
14:30–15:00
Panel discussion
15:00–15:25
Opening the floor to the audience for Q&A
15:25–15:35
Closing statement by each panelist (2 minutes per panel member)
15:35–15:37
Closing remarks by the convener
Speakers
- Yao Sun, German Aerospace Center (DLR), Germany
- Bruce D. Malamud, Durham University, United Kingdom
- Jean-Baptiste Bove, Italy
- Gabriella Duca, Fondazione ISSNOVA Institute for Sustainable Society and Innovation, Italy
- Juha-Pekka Jäpölä, European Commission, Belgium