Responsible Artificial Intelligence Re-Engineering the Global Public Health Ecosystem : A Humanity Worth Saving.

Format:

Book

Author/Creator:

Monlezun, Dominique J.

Language:

English

Subjects (All):

Medical informatics.

Artificial intelligence.

Physical Description:

1 online resource (363 pages)

Edition:

1st ed.

Place of Publication:

San Diego : Elsevier Science & Technology, 2024.

Summary:

Artificial intelligence Re-Engineering the Global Public Health Ecosystem: A Humanity Worth Saving provides a unifying strategic vision (and principles and examples operationalizing it) for the AI-accelerated effective, efficient, and equitable global public health of the future. Readers will find an ecosystem-based approach to understanding how AI is transforming and globalizing public health (and thus our underlying political economics, contextualized in our diverse cultures). The book integrates data architecture, digital health ecosystem, algorithms (including machine and deep learning and artificial general intelligence), quantum computing, global disease surveillance, adaptive value supply chains, demographic shifts, integral development, network science, health financing, healthcare system design, and multicultural global ethics underlying diverse political economic systems in a clear and concrete way forward together, within a divided but digitized and globalized world. Written by the world’s first triple doctorate-trained physician-data scientist and AI ethicist, this book is a compelling and coherent guide to help empower and equip AI developers, students, practitioners, policymakers, researchers, and leaders in digital technology, public health, healthcare, health policy, public policy, political science, economics, and ethics to generate the healthcare solutions that will define humanity’s next era.

Contents:

Front Cover

Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem

Copyright Page

Dedication

Contents

About the author

1 Power and artificial intelligence: transformation of the global public health ecosystem

1.1 Part I: History

1.1.1 Power versus justice: why artificial intelligence and global public health matter

1.1.2 Technical dimensions

1.1.3 Societal dimensions

1.1.4 Historic dimensions

1.2 Why this book matters for you

1.3 Book's structure as the blueprint for the artificial intelligence-empowered global public health ecosystem: humanity's ...

1.3.1 Public health's early days: quarantines to vaccines

1.3.2 Modernization and globalization of public health

1.3.3 Strategic and organic ecosystem transition into global public health

1.3.4 Global public health as (competitive) foreign policy

1.4 Anticolonial and COVID critiques

1.4.1 Anticolonial backlash

1.4.2 Great COVID Reset

1.5 Part II: Future

1.5.1 Emerging trends shaping artificial intelligence's global public health ecosystem

1.5.2 Digitalization

1.5.3 Deglobalization

1.5.4 Demographics

1.6 Emerging artificial intelligence categories of applications

1.6.1 Population health

1.6.2 Precision public health

1.6.3 System optimization

1.7 Just power: artificial intelligence reengineering the global public health ecosystem

1.7.1 Aims and angle: an ethical ecosystem

1.8 Personalist Liberalism: health spanning global divisions

1.8.1 Why the global public health ecosystem?

1.9 Artificial intelligence×global public health ecosystem: AI×Equity2

References

2 Design part I: Artificial intelligence + financing

2.1 Overview of current global public health financing

2.1.1 Equity

2.1.2 Integration

2.1.3 Resiliency

2.1.3.1 Main levels.

2.1.3.2 Core functions

2.1.3.3 Main state funder

2.1.3.4 Main overall funders

2.1.3.5 Main trends

2.2 Overview of health artificial intelligence + financing

2.2.1 Artificial intelligence essentials

2.2.1.1 Spectrum types

2.2.1.2 Learning types

2.2.1.3 Process types

2.2.1.4 Algorithm types

2.2.1.5 Adoption types

2.2.1.6 Health artificial intelligence

2.2.1.6.1 Health finance artificial intelligence state of the art: research overview

2.2.1.6.2 Emerging trends in health finance artificial intelligence

2.3 Emblematic artificial intelligence use cases in the global public health ecosystem

2.3.1 Translational artificial intelligence public-private partnerships

2.3.2 Artificial intelligence-enabled finance tracking

2.3.3 "Research economies of scale"-artificial intelligence-augmented embedded adaptive clinical and public health trials

2.3.4 Cost savings

2.3.5 Embedded value-based funding models

2.3.6 Standardized analytics for global public health investments

2.3.7 Artificial intelligence-automated integration of cost, equity, and causal inference

2.3.8 Resilient revenue cycles

3 Design part II: Artificial intelligence i(ntegral+) s(ustainable) development

3.1 Development as global public health's future?

3.2 Integral versus sustainable development

3.2.1 Integral development

3.2.2 Sustainable development

3.3 Integral sustainable development of health

3.4 From 20th-century development to 21st-century artificial intelligence × Sustainable Development Goals

3.5 Artificial intelligence × Sustainable Development Goals institutional momentum

3.5.1 International NGOs

3.5.2 Academics

3.6 Artificial intelligence × Sustainable Development Goals local use cases

3.6.1 Poverty-Hunger (SDG2-3)

3.6.2 Climate/maritime (SDG13/14).

3.6.3 Energy/industry (SDG7/9)

3.6.4 Financing/equity (SDG3/10)

3.6.5 Equities/partnerships (SDG10/17)

3.7 Polycrises versus AI4SDGs: the Great Divergence, Global South, and Ukraine

3.8 From financed development design to data architecture framework

4 Framework part I: Artificial intelligence + data architecture

4.1 Basic concepts and terms

4.1.1 Data versus information

4.1.2 Data infrastructure versus data architecture

4.1.3 Data meshes versus fabrics

4.1.4 Data lakes, warehouses, and marts

4.1.5 Primary needs: interoperability and onward

4.1.6 Primary exchange types: centralized, federated, and hybrid architectures

4.2 No data architecture, no global public health ecosystem

4.3 Overview of challenges and solutions

4.4 Data architecture advances: Artificial intelligence-enabled health use cases

4.4.1 Interoperability: the United Kingdom's international hybrid + federated data architecture for COVID-19

4.4.2 Interoperability: India's enterprise federated architecture for universal health coverage and primary care

4.4.3 Interoperability: swarm learning architecture-the "preferred choice" for Big Data?

4.4.4 Integration: public-private application programing interface platforms as "augmented public health intelligence"

4.4.5 Integration: deep versus shallow learning and architectures

4.4.6 Integration: stream, batch, and quantum computing

4.4.7 Integration: liquid neural networks

4.4.8 Security (and privacy by design): zero-trust prevention and dual-defense containment

4.4.9 Security (and privacy by design): blockchain

4.4.10 Security (and privacy by design): decolonization and data solidarity

4.4.11 Hybrid cloud-fog-edge blockchain computing: smart environment architectures

4.4.12 From data architectures to societal architectures

References.

Further reading

5 Framework part II: artificial intelligence + political economics

5.1 Part I: Theory

5.1.1 Political economics: metadeterminant of health determinants (and the global public health ecosystem?)

5.1.2 Health politics, economics, and values: a societal ecosystem

5.1.3 From background and breakdown to breakthrough: managed strategic (cooperative) competition

5.1.3.1 Background: health political economics

5.1.3.2 Breakdown: democratic versus autocratic capitalism

5.1.3.3 Managed strategic cooperative competition: (digital) sovereignty versus imperialism

5.2 Part II: Practice

5.2.1 Personalist Liberalism=human security, sovereignty, and sustainability

5.2.1.1 Ecosystem interoperability

5.2.1.2 Deployed for global public health

5.2.2 Advances: health AI uses cases in cooperative political economics

5.2.2.1 Health development with deterrence and defense guardrails

5.2.2.2 WHO-coordinated cooperative medical diplomacy as multilateral development

5.2.2.3 Democratizing artificial intelligence: deep medicine, ChatGPT, and large language models

5.2.2.4 Digital supply chain resilience: artificial intelligence-augmented microchip manufacturing + diversification

5.2.2.5 Liquified natural gas, nuclear, and commercial fusion as sustainable artificial intelligence energy

5.2.3 Global public health ecosystem: newer rules-based order of integral values versus older ruler-based world order of id...

6 Foundations and families: artificial intelligence ethics of demographic, multicultural, and security shifts

6.1 Foundations and their families

6.2 North to South demographics

6.3 Decolonization unity in global development: from multicultural diversity to biodiversity

6.4 Global/human security (not just national security).

6.5 Global health artificial intelligence ethics beyond democracies versus autocracies

6.5.1 Beyond democracies versus autocracies

6.5.2 Ethical roadblocks to regulations and innovations

6.5.3 WHO artificial intelligence ethics

6.5.4 Metaphysical Turing Test: artificial intelligence existentialism separating man from machine?

6.6 Personalist Social Contract artificial intelligence ethics: at scale, speed, and specificity

6.6.1 Multidimension defense

6.6.2 Structure and content

6.7 Personalist Social Contract artificial intelligence health ethics: African "Ubuntu," global embodiment, and humanity's ...

7 Our common home: artificial intelligence + global public health ecosystem

7.1 Global needs, crises, and hope

7.2 Design: financing

7.3 Design: integral sustainable development

7.4 Framework: data architecture

7.5 Framework: political economics

7.6 Families and foundation: artificial intelligence security ethics amid multicultural demographic shifts

7.6.1 Globalizing and localizing artificial intelligence health ethics

7.6.2 Personalizing artificial intelligence health ethics

7.6.3 Embedding artificial intelligence health ethics

7.6.4 Rehumanizing artificial intelligence health ethics

7.7 The future of the artificial intelligence + global public health ecosystem: just power, serving a humanity worth saving

7.7.1 Personal(ist) ecosystem and responsible artificial intelligence reengineering

7.8 Conclusion

Further reading

Abbreviations

Index

Back Cover.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Monlezun, Dominique J. Responsible Artificial Intelligence Re-Engineering the Global Public Health Ecosystem

ISBN:

9780443215964

OCLC:

1438948901