Abstract
This article explores the potential solutions as well as challenges of AI-driven tools for crisis
management. AI application in crisis management presents ethical, technical, ecological, and legal challenges, including biases, transparency, carbon footprint, and regulatory inadequacies, requiring
robust frameworks and structures to ensure a sustainable, fair and responsible transfer in societal contexts. By drawing on examples from the ROADS to Health project and fundamental principles of
crisis management, the paper advocates for a human-centered approach that places prioritization on user needs, cross sectional collaboration, and cultural sensitivity. The perspective of the evolution and further development of a tool stemming from the ROADS to Health project provides an
illustration of how to bridge the challenges and facilitate targeted and comprehensive control
measures in crisis scenarios. The proposed approach seeks to harness and maximize the potential of AI while ensuring and safeguarding its ethical integrity and effectiveness in supporting crisis management efforts.
management. AI application in crisis management presents ethical, technical, ecological, and legal challenges, including biases, transparency, carbon footprint, and regulatory inadequacies, requiring
robust frameworks and structures to ensure a sustainable, fair and responsible transfer in societal contexts. By drawing on examples from the ROADS to Health project and fundamental principles of
crisis management, the paper advocates for a human-centered approach that places prioritization on user needs, cross sectional collaboration, and cultural sensitivity. The perspective of the evolution and further development of a tool stemming from the ROADS to Health project provides an
illustration of how to bridge the challenges and facilitate targeted and comprehensive control
measures in crisis scenarios. The proposed approach seeks to harness and maximize the potential of AI while ensuring and safeguarding its ethical integrity and effectiveness in supporting crisis management efforts.
| Translated title of the contribution | Künstliche Intelligenz im Krisenmanagement: Mögliche Lösungen und Herausforderungen |
|---|---|
| Original language | English |
| Title of host publication | IDIMT-2024 |
| Subtitle of host publication | Changes to ICT, Management, and Business Processes through AI |
| Editors | Petr Doucek, Michael Sonntag, Lea Nedomova |
| Place of Publication | Linz |
| Chapter | AI Support for Crisis Management |
| Pages | 13-22 |
| Number of pages | 10 |
| Volume | 53 |
| DOIs | |
| Publication status | Published - 6 Sept 2024 |
| Event | 32nd Interdisciplinary Information Management Talks - EA Hotel Tereziánský dvůr , Hradec Králové, Czech Republic Duration: 4 Sept 2024 → 6 Sept 2024 Conference number: 32 https://idimt.org/ |
Conference
| Conference | 32nd Interdisciplinary Information Management Talks |
|---|---|
| Abbreviated title | IDIMT-2024 |
| Country/Territory | Czech Republic |
| City | Hradec Králové |
| Period | 4/09/24 → 6/09/24 |
| Internet address |
Research Field
- Sustainable & Resilient Society
Keywords
- crisis management
- Decision making
- technological tooling
- responsible AI
- pandemic
Web of Science subject categories (JCR Impact Factors)
- Health Policy & Services
