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E-grāmata: AI and Robotics in Disaster Studies

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This book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. Its time that the struggling disaster management services get supported and facilitated by new technology of combining Artificial Intelligence (AI) and Machine Learning (ML) with Data Analytics Technologies (DAT)to serve people and government in disaster management.
AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved.
1 Introduction: Enhancing Capacity to Manage Disasters
1(10)
Amita Singh
Part I New Technologies in Disaster Management
11(106)
2 Artificial Intelligence and Early Warning Systems
13(20)
Rabindra Lamsal
T. V. Vijay Kumar
3 Artificial Intelligence in Disaster Management: Rescue Robotics, Aerial Mapping and Information Sourcing
33(14)
Keshav Sud
4 Optimal Visual Cues for Smartphone Earthquake Alert Systems: Preliminary Data from Lab and Field Experiments
47(16)
Eran Lederman
Tomer Shemi
Noga Ensenberg-Diamant
Lior Shalev
Amir Hazan
Naama Marcovits
Yona Weitz
Or Haklai
Tal Badichi
Bar Segal
Dan Fishbein
Hillel Aviezer
5 Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview
63(20)
Ferda Ofli
Muhammad Imran
Firoj Alam
6 `Internet of Things' Applications in Disaster Management
83(10)
Malavika Singh
7 Samvad: Reaching Out Through Radio and Wireless Network
93(10)
Sampark
8 Usages of AI Technologies in Nepal's Disaster Management
103(14)
Gajendra Sharma
Subarna Shakya
Part II Government, Governance and Law
117(80)
9 Enhancing Accountability and Triadic Collaboration in Disaster Governance of Sri Lanka
119(14)
Kokila Konasinghe
10 Artificial Intelligence and the Legal Response Paradigms in Disaster Management
133(16)
Stellina Jolly
G. S. Moses Raj
11 Artificial Intelligence and Disaster Management in Sri Lanka: Problems and Prospects
149(18)
R. Lalitha S. Fernando
12 Applications of Artificial Intelligence in Reconstruction Governance Lessons from Nepal Earthquakes
167(16)
Narendra Raj Paudel
13 ICT Infrastructure of Disaster Management in India
183(14)
G. Durga Rao
Part III Building Community Resilience Through AI
197(50)
14 Can Community Plans Really Talk? Integrating and Strengthening Communications Through Artificial Intelligence
199(20)
Andrew Estrain
Deepa Srinivasan
Pat Pathade
15 The Challenge of Resilience in an Age of Artificial Intelligence
219(16)
Acharya Shambhushivananda Avadhuta
16 AI in an Urban Village in Delhi
235(12)
Natasha Goyal
Anurag Singh
Part IV Extraneous Influences and Ethics in AI Applications
247
17 Prevent AI from Influences: A Challenge for Lazy, Profligate Governments
249(10)
Amita Singh
18 The Final Alert on Ethics in AI Based Technology
259
Vaishali Mamgain
Prof. Dr T.V. Vijay Kumar is Professor and Dean, School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), Delhi, India.Dr Keshav Sud is currently working as Senior Manager of Data Science at Keurig Dr Pepper where he is leading the development of recommendation engines. Dr. Sud is a well-recognized expert in the field of AI with first authorship of numerous scholarly articles in internationally recognized professional publications.