The Converging Technology Revolution and Human Capital

Page 53

The Converging Technology Revolution and Human Capital  l  19

TABLE 2.1  Summary of interview responses: Kerala (India), Nepal, and Pakistan (continued)

What can help build resilience for future livelihoods?

Kerala: Long-term investment in STI, community capacity, and engagement

Nepal: Many local innovations; private sector diaspora willing to engage

Pakistan: Under crisis, government willing to adopt joint solutions with the private sector

• Building resilience at the micro/community level (lesson from floods) • Adapting solutions to local needs inspires “resilience by design” • Moving from central grid to local grids built for resilience • Receiving World Bank financing through its projects for widespread, decentralized adoption of technology at the local level (such as from development to pilot plants)

• Jointly piloting and expanding social registry across human development services with a cohort of proactive local governments • Stockpiling critical medical supplies in preparation for future shocks and seizing opportunities to achieve UHC • Improving collaboration between the public and private sectors and encouraging government’s digital leadership • Strengthening donor coordination around digital Nepal • Using technology to upgrade disaster response system and inform communities

• Building up vertical/ specialist skills in government of Pakistan

Source: World Bank study team. Note: AI = artificial intelligence; ID = identification; IEEE = Institute of Electrical and Electronics Engineers; IT = information technology; PPE = personal protective equipment; SMS = short message service; STEM = science, technology, engineering, and mathematics; STI = science, technology, and innovation; UHC = universal health care.

technology (fintech) or mobile phones. Citing several examples of promising grassroots innovations, interview participants noted that such innovations typically do not receive adequate, if any, funding or support from donor-funded projects. They also pointed out that the greatest risks are growing inequality and cyber threats, as well as extensive data appropriation without consent (such as from children). Later chapters will expand on these risks.

Summary Converging technologies are variable combinations of information and bio-, nano-, and cognitive technologies that are amplified through artificial intelligence, big data, computing power, and connectivity. The promise of converging technologies for improving


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A.4 Metatrend 4: Governance of Dual-Use Technologies

4min
pages 158-161

A.3 Metatrend 3: Complex and Dynamic Innovation Ecosystems

5min
pages 156-157

Deploy and Utilize, and Empower Human Capital

14min
pages 142-149

Rising to the Challenge

3min
pages 150-151

A.1 Metatrend 1: Technologies for Building and Protecting Human Capital

3min
pages 153-154

Synthesis

8min
pages 137-140

A.2 Metatrend 2: Data-Driven and Hybrid Human-Machine Technologies for Productive Activities

2min
page 155

Recommendations

4min
pages 134-135

Nine Action Areas for Leveraging the Converging Technology Revolution to Improve Human Capital Outcomes

2min
page 141

Critical Uncertainties

5min
pages 129-130

Introduction

1min
page 125

7.1 Scenario Analysis: Uses and Methods

2min
page 126

Technology Metatrends

4min
pages 127-128

Notes

1min
pages 123-124

Assessment of Technology Maturity in World Bank Projects

2min
page 120

Projects in South Asia: Deploy and Utilize and Empower Pillars

1min
page 119

Implications for Future Engagement

2min
page 122

Pipeline Projects in South Asia: Build and Protect Pillar

1min
page 118

Breakdown of Technology Components of the World Bank’s Human Capital–Related Portfolio in South Asia

2min
page 117

Portfolio for Human Capital

2min
page 116

References

4min
pages 112-114

Introduction

1min
page 115

Notes

2min
page 111

Conclusions

2min
page 110

5.1 National Artificial Intelligence Strategies in the South Asia Region

4min
pages 108-109

5.1 Risks Posed by Converging Technologies

4min
pages 106-107

Data Governance

4min
pages 103-104

Technology for Local Resilience and Community Innovation

2min
page 93

Introduction

1min
page 97

Governance of Converging and Dual-Use Technologies

2min
page 105

The Role of Trust in the Use of Technology

11min
pages 98-102

Conclusions

1min
page 94

at Scale: The Green Revolution and Treatment of HIV/AIDS

2min
page 90

The Digitization of Innovation and the Role of Advanced Human Capital

7min
pages 87-89

Introduction

1min
page 83

Impact of New Technologies on Labor Demand in South Asian Countries

5min
pages 84-85

References

2min
pages 81-82

Notes

2min
page 80

Conclusions

2min
page 79

Data-Driven Decision-Making in the Human Development Sectors

2min
page 78

Social Protection Sectors, South Asia

20min
pages 66-74

Technology Landscape in Health, Education, and Social Protection in South Asia

2min
page 65

Unequal Digital Access in South Asia: Barriers to Equitable Deployment of Technology

4min
pages 62-63

Human Capital

4min
pages 60-61

Opportunities for Improving Service Delivery in Health, Education, and Social Protection

4min
pages 58-59

Notes

2min
page 54

Introduction

1min
page 57

Summary

1min
page 53

References

1min
pages 55-56

The Priorities for South Asia

2min
page 36

Introduction

1min
page 35

2.1 Summary of Interview Responses: Kerala (India), Nepal, and Pakistan

3min
pages 51-52

1 Nine Action Areas in Which Technology Can Build and Protect

2min
page 42

Framing the Relationship between Human Capital and Technology

2min
page 43

Priorities for Human Capital in South Asia

2min
page 49

Perspectives from the Region: Country Expert Interviews

2min
page 50

References

1min
page 39
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