Format:
1 Online-Ressource (267 Seiten)
ISBN:
9789811542916
Series Statement:
Disaster Research and Management Series on the Global South Ser
Note:
Description based on publisher supplied metadata and other sources
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Intro -- Acknowledgements -- Contents -- About the Series Editor -- Notes on Editors -- List of Figures -- List of Tables -- Chapter 1: Introduction: Enhancing Capacity to Manage Disasters -- Introduction -- A Social Scientist's Understanding of AI and BD -- How Would Governance Benefit from AI and Big Data? -- Sophistication in Decision Making Tools -- Diagnostic Capability -- Climate Change Related Early Warning Mechanism Systems -- Indispensability of 'Big Data' for Public Institutions -- Drivers for AI and BD Based Decision Making -- Conclusion -- References -- Part I: New Technologies in Disaster Management -- Chapter 2: Artificial Intelligence and Early Warning Systems -- Introduction -- Disaster Management -- Organization of the Paper -- Early Warning Systems -- Artificial Intelligence -- Machine Learning -- AI and EWS -- Conclusion -- References -- Chapter 3: Artificial Intelligence in Disaster Management: Rescue Robotics, Aerial Mapping and Information Sourcing -- Introduction to AI in Disaster Management -- Land and Water Robots -- Aerial Surveillance and Aid Delivery Robots -- AI as a Software Service During a Disaster -- Adoption of AI in Disaster Management -- Conclusion -- References -- Chapter 4: Optimal Visual Cues for Smartphone Earthquake Alert Systems: Preliminary Data from Lab and Field Experiments -- Experiment 1. Optimal Stimuli for Capturing Peripheral Attention -- Methods -- Discussion Experiment 1 -- Experiment 2. Optimal Stimuli, Personalization and Practice in a Real-Life Field Experiment -- Methods -- Task and Procedure -- Results -- Results -- User Experience Ratings -- In Case of a Real Earthquake, How Likely Would You Be to Trust This App? -- In Case of a Real Earthquake, How Safe Would You Feel with This App? -- To What Degree Did I Feel Safe During Walking During the Alert? -- Overall Mood During the Experiment
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Discussion Experiment 2 -- General Discussion -- References -- Chapter 5: Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview -- Introduction -- Research -- Situational Awareness -- Actionable Insights -- Datasets -- Systems -- Discussion and Conclusion -- References -- Chapter 6: 'Internet of Things' Applications in Disaster Management -- What Is AI and IoT and Why Do They Matter to the Government? -- What Are the Opportunities with IoT for Public Service? -- Why Are Government Agencies Not Able to Leverage IoT? -- What Should Governments Do? -- Risks Related to IoT Expansion -- Summary -- Chapter 7: Samvad: Reaching Out Through Radio and Wireless Network -- Situation in District in Previous Floods -- Response of the District Administration -- Implementation of the Seven-Point Disaster Risk Management Programme -- Impact of Radio Initiatives -- Preparedness Education: Use of Cinema Halls -- Future Plan -- The Final Word -- Chapter 8: Usages of AI Technologies in Nepal's Disaster Management -- Introduction -- Related Issues -- Artificial Intelligence and Disaster Management: Nepal Scenario -- Machine Learning Terminologies -- A Case Study of Flood Damage Prediction -- Koshi River in Nepal -- Data Collection -- Data Visualization -- Flood Map Generation -- Water Level Prediction for Flash Flood -- Rapid Earthquake Assessment from Satellite Imagery -- Unmanned Aerial Vehicle (UAV) Based Emergency Management -- Recommendations from This Study -- Conclusion -- References -- Part II: Government, Governance and Law -- Chapter 9: Enhancing Accountability and Triadic Collaboration in Disaster Governance of Sri Lanka -- The Background -- The Role of Artificial Intelligence in Disaster Risk Reduction and Management -- The Legislative Framework on Disaster Risk Reduction and Management in Sri Lanka
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The Role of the Government of Sri Lanka in Disaster Situations -- The Human Right to Be Protected and Relieved from the Disasters -- Sustainable Development and Prevention of Disasters -- Precautionary Principle in Averting Disasters in Advance -- Conclusion -- References -- Chapter 10: Artificial Intelligence and the Legal Response Paradigms in Disaster Management -- Introduction: Disaster Management Challenges and Scope of Employing Artificial Intelligence -- Ethical and Legal Concerns in the Application of Artificial Intelligence -- Regulating Artificial Intelligence -- AI Liability Frameworks -- International Legal Framework on Disaster Management: Environmental and Application of AI -- Conclusion -- References -- Chapter 11: Artificial Intelligence and Disaster Management in Sri Lanka: Problems and Prospects -- Background of the Study and Problem Identification -- Literature Review -- Artificial Intelligence in Disaster Management -- Application of AI in Disaster Management -- Flood Prediction Model in Malaysia -- Machine Learning in the USA to Be Prevented from Earthquakes -- Flood Alert System in India -- High-Performance Computing in Japan to Be Prevented from Earthquakes -- Deep Machine Learning (ML) Algorithm in India as to Filter out Fake News -- Satellite Technology in Disaster Management in Malaysia, Ethiopia and Kenya -- Application of AI in Disaster Risk Management in Sri Lanka: Examples -- Opportunities of Adopting AI for Disaster Management in Sri Lanka -- Problems of Adopting AI for DM in Sri Lanka -- Lack of Knowledge and IT Infrastructure -- AI as Multifaceted Intelligence -- Manageability -- Languages Usage -- Controlling -- Conclusion -- References -- Chapter 12: Applications of Artificial Intelligence in Reconstruction Governance Lessons from Nepal Earthquakes -- Background
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Artificial Intelligence and Reconstruction Governance in Nepal -- Research Methodology -- Reconstruction Governance in Nepal -- Response and Relief -- Reconstruction and Rehabilitation Achievements -- Factors Affecting Reconstruction Governance in Nepal -- Conclusions -- References -- Chapter 13: ICT Infrastructure of Disaster Management in India -- Introduction -- Advancements of ICT Applications in Disaster Management -- Can India Manage Disasters without ICT? -- A Spread of ICT Infrastructure in India -- Challenges -- Conclusion -- References -- Part III: Building Community Resilience Through AI -- Chapter 14: Can Community Plans Really Talk? Integrating and Strengthening Communications Through Artificial Intelligence -- Introduction -- Problem Statement -- What Is Hazard Mitigation or Why the Need for it? -- Plan Review and Integration -- Integrating Hazard Mitigation Principles into Other Local Planning Mechanisms (Integrate Through Plans) -- Challenges in Performing Manual Plan Review and Integration -- AI for Plan Integration -- Phase I: Build the Brain (BEB) -- Prepare Ontology, Define Terms, and Develop a Knowledge Base -- Phase II: Process the Plans (PEP) -- Natural Language Processing (NLP) -- Document Tagging Using Ontology -- Recommendation Engine -- Conclusion -- References -- Chapter 15: The Challenge of Resilience in an Age of Artificial Intelligence -- The Coming Age of Artificial Intelligence -- Disaster Preparedness and Resilience -- Prama: The Path of Resilience -- Loss of 'PRAMA' in Society -- Restoring PRAMA -- Survival (Asti): The First Step Toward Resilience -- Allround Development (Bhati) -- Role of Intuitional Practices and the Goal of Anandam -- Conclusion: A Call for Moral Advancement -- References -- Chapter 16: AI in an Urban Village in Delhi -- Introduction -- Vulnerability of Urban Villages: Case Study of Munirka
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Vulnerability Mapping through Aerospace Imaging -- Crowd-Sourcing Data from Communities: A Participatory Approach -- Generating Classification Maps: Deep Learning Approach Using Support Vector Machines (SVM) and Feature Extraction -- Limitations in the Use of AI -- Conclusion -- References -- Part IV: Extraneous Influences and Ethics in AI Applications -- Chapter 17: Prevent AI from Influences: A Challenge for Lazy, Profligate Governments -- Disaster Governance: Managing Mechanized Humans or Humanized Robots? -- What Is Likely to Go Wrong? -- Nature of New Regulations Needed -- Conclusion -- References -- Chapter 18: The Final Alert on Ethics in AI Based Technology -- Summing Up Ethical Questions Around AI -- An Example from the Chapters -- Information Is Power! -- Unequal Access to Resources -- Inequality Between Countries -- The Benefits/Dangers of Cell Phone Data -- Consequences and Motivation -- Guideposts as We Move Ahead -- Conclusion -- Reference
Additional Edition:
Erscheint auch als Druck-Ausgabe Kumar, T. V. Vijay AI and Robotics in Disaster Studies Singapore : Springer Singapore Pte. Limited,c2020 ISBN 9789811542909
Language:
English
Subjects:
Computer Science
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Economics
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General works
Keywords:
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