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AI and the Future of Emergency Management: Market Supply and Adoption Pathways
(인공지능과 미래의 재난 관리: 시장 공급과 채택 경로)목차
About This Report iii
Summary v
Figures and Tables xi
CHAPTER 1
Introduction 1
EM Encompasses a Broad Set of Tasks Performed by a Variety of People and Organizations 1
Technology, Particularly AI, May Evolve EM Practice and Overcome Some of These Challenges 3
To Maximize the Opportunity That AI-Enabled Products Afford, They Must Be Adopted Within Individual Organizations Across the Country 4
The Markle Foundation Charged RAND with Assessing the Landscape of AI-Enabled Products That Are Available to Support EM 7
We Share the Information That Led to This Conclusion Across Four Additional Chapters and Nine Appendixes 9
CHAPTER 2
Many Products Exist with the Potential to Support Emergency Management 11
Many Products Are Purpose-Built for EM (or Have Been Used to Support It) and Are Hazard Agnostic 11
There Are Nine or More Products Available to Support Every Functional Area and Task Area 13
Most Products Support Multiple Task Areas 13
Products Supporting Task Areas That Are Important to Emergency Managers Exist 15
There Are Products Other Entities That Support EM Functions Would Use 21
Nearly Half of the Products Identified in This Research Are General Solutions That Have the Potential to Support EM Task Areas 24
Many Products Support Specific Tasks Within an EM Task Area but Would Require Stacking to Best Meet EM Needs 27
There Are Clear Gaps in the Product Landscape 28
Some Products Offer Novel Capabilities That Address EM Needs 29
Conclusion 30
CHAPTER 3
Procurement Realities: From Available to Adopted 31
One in Five Products in This Landscape Is a Component That Depends on Another Product to Function 31
Most Products Are Delivered as Cloud Services, and Many Offer Additional Deployment Options 32
The Path from Purchase to a Working, Sustained Product Is Often Neither a Single Transaction nor a One-Time Setup 33
Most Products Stop Working When Connectivity Fails 35
Most Technology Companies Provide Learning Support for Users but Not 24/7 Technical Assistance 36
Pricing Is Largely Opaque, and Access Models Vary Widely 37
Most Products Have Documented Deployment Across Multiple Sites or Countries 38
The Type and Degree of Risk Vary Across Products 40
Conclusion 45
CHAPTER 4
From Awareness to Broad Adoption: What Will Shape AI Diffusion in Emergency Management? 47
Adoption Within EM Offices Is Emerging at Different Rates 47
Diffusion Is Possible in EM, but the Conditions That Enable It Are Not Available Yet for AI 49
AI Adoption Across Organizations That Support EM Is Meaningful but Emerging at Different Rates 51
Technology Company Design Choices and Communication Practices Shape What Practitioners Can Do 53
Institutional Conditions Shape What Practitioners Can Realistically Do 55
Conclusion 57
CHAPTER 5
From Awareness to Broad Adoption and from Adoption to Diffusion: An Agenda for Action 59
A Sequenced Agenda for Action 59
High-Impact Initiatives to Accelerate Adoption and Diffusion at Scale 60
Conclusion 62
APPENDIXES
A. A Brief History of AI 63
B. Project Approach 67
C. Response Task Areas and AI-Related Patterns 79
D. Disaster Recovery Task Areas and AI-Related Patterns 87
E. Preparedness Task Areas and AI-Related Patterns 95
F. Examples of Observed Response, Recovery, and Preparedness Product Gaps 103
G. Sequenced Action Agendas for Stakeholder Groups to Support Adoption and Diffusion 107
H. Criteria Practitioners Can Use to Evaluate Their Organization's Adoption Readiness Based on Product Characteristics 111
I. Questions for Product Technology Companies: A Checklist for Practitioners 117
Abbreviations 129
References 131
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AI and the Future of Emergency Management: Market Supply and Adoption Pathways
(인공지능과 미래의 재난 관리: 시장 공급과 채택 경로)
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