The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Role of AI in Crisis Management and Disaster Response
Abstract
This chapter explores the evolving role of Artificial Intelligence (AI) in crisis management and disaster response amidst escalating global challenges. Beginning with an overview of traditional methods, it charts the progression to AI-driven solutions integrating machine learning, predictive analytics, natural language processing (NLP), and computer vision. Highlighting applications in early warning systems, real-time monitoring, and damage assessment, the chapter examines AI's impact across disaster phases: preparedness, crisis management, and recovery. Case studies illustrate AI's efficacy in earthquake, flood, and pandemic responses, while addressing ethical concerns of data privacy, security, and bias. Looking forward, the chapter discusses AI's synergy with IoT and blockchain, envisioning enhanced global resilience and a transformative future in crisis response.
Related Content
|
Li Shun, Siti Norzaini Zainal Abidin, Myzatul Aishah Kamarazaly.
© 2026.
36 pages.
|
|
TamilSalvi Mari, Ariventhar Ayahvoo, Sujatavani Gunasagaran.
© 2026.
40 pages.
|
|
Khairool Aizat Ahmad Jamal, Shahrul Yani Said, Siti Norlizaiha Harun, Ahmad Fahmi Zainazlan, Noor Azeyah Khiyon.
© 2026.
36 pages.
|
|
Changsaar Chai, Ming Gai, Haw Yang Ang, Chia Kuang Lee, Wan Siang Chong, Mervyn Hsin Jyi Wong.
© 2026.
32 pages.
|
|
Nur Syaimasyaza Mansor, Hong Cing Cing.
© 2026.
26 pages.
|
|
Erna Looi, Sujatavani Gunasagaran, TamilSalvi Mari.
© 2026.
44 pages.
|
|
Yufeng Niu, Changsaar Chai, Yaoli Xiong.
© 2026.
28 pages.
|
|
|