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Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem
A Humanity Worth Saving
- 1st Edition - June 7, 2024
- Author: Dominique J Monlezun
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 1 5 9 7 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 1 5 9 6 - 4
Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem: A Humanity Worth Saving is the first comprehensive book showing how trustworthy AI can revol… Read more
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Request a sales quoteResponsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem: A Humanity Worth Saving is the first comprehensive book showing how trustworthy AI can revolutionize decolonized global public health. It explains how it works as an ecosystem and how it can be fixed to equitably empower us all to solve the defining crises of our era, from poverty to pandemics, climate to conflicts, debt to divisions. It is written from the first-hand perspective of the world’s first triple doctorate trained physician-data scientist and ethicist who has cared for more than 10,000 patients and authored 5 AI textbooks and more than 400 scientific and ethics papers. This essential resource integrates science, political economics, and ethics to unite our unique cultures, belief systems, institutions, and governments. In doing so, it is meant to give humanity a fighting chance against shared existential threats through cooperation and managed strategic competition for integral sustainable development.
Taking seriously diverse voices, perspectives, and insights from the Global North and the Global South, this book uses concrete examples backed up by clear explanations to elucidate the current failures, emerging successes, and societal trends of global public health. It shows how a small number of powerful governments and corporations—amid digitalization, deglobalization, and demographic shifts—dominate global health, and how we can re-engineer a better future for it both societally and technologically. The book spans health breakthroughs in federated data architectures, machine learning, deep learning, swarm learning, quantum computing, blockchain, agile data governance and solidarity, value blocks (of democracies and autocracies), adaptive value supply chains, social networks, pandemics, health financing, universal health coverage, public–private partnerships, healthcare system design, precision agriculture, clean energy, human security, and multicultural global ethics. This book therefore is meant to provide a clear, coherent, and actionable guide equipping students, practitioners, researchers, policymakers, and leaders in digital technology, public health, healthcare, health policy, public policy, political economics, and ethics to generate the solutions that will define humanity’s next era—while recovering what that humanity means, and why it is worth saving.
- Details the first comprehensive ecosystem analysis of global public health revolutionized by AI.
- Uses concrete examples to explain the dominant players and trends determining health’s future, including through data architecture, financing, political economics, demographics, security, and multicultural ethics.
- Provides a successful full-spectrum formula for governments, institutions, companies, and communities to scale equitable health globally while respecting local identities and values.
Computer Scientists and researchers in Artificial Intelligence and Machine Learning, as well as practitioners in public health, medicine, health policy, public policy, political science, economics, and ethics. As such, academics, researchers, and professionals in a variety of research fields who work with AI, algorithms, and machine learning and their applications to various real-world research and healthcare administration problems will be a target audience. Upper-level undergrad and graduate students in Computer Science, AI, ML, public health, medicine, health policy, public policy, political science, economics, and ethics
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- About the author
- 1. Power and artificial intelligence: transformation of the global public health ecosystem
- Abstract
- 1.1 Part I: History
- 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 common home
- 1.4 Anticolonial and COVID critiques
- 1.5 Part II: Future
- 1.6 Emerging artificial intelligence categories of applications
- 1.7 Just power: artificial intelligence reengineering the global public health ecosystem
- 1.8 Personalist Liberalism: health spanning global divisions
- 1.9 Artificial intelligence×global public health ecosystem: AI×Equity2
- References
- 2. Design part I: Artificial intelligence + financing
- Abstract
- 2.1 Overview of current global public health financing
- 2.2 Overview of health artificial intelligence + financing
- 2.3 Emblematic artificial intelligence use cases in the global public health ecosystem
- References
- 3. Design part II: Artificial intelligence i(ntegral+) s(ustainable) development
- Abstract
- 3.1 Development as global public health’s future?
- 3.2 Integral versus 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
- 3.6 Artificial intelligence × Sustainable Development Goals local use cases
- 3.7 Polycrises versus AI4SDGs: the Great Divergence, Global South, and Ukraine
- 3.8 From financed development design to data architecture framework
- References
- 4. Framework part I: Artificial intelligence + data architecture
- Abstract
- 4.1 Basic concepts and terms
- 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
- References
- Further reading
- 5. Framework part II: artificial intelligence + political economics
- Abstract
- 5.1 Part I: Theory
- 5.2 Part II: Practice
- References
- 6. Foundations and families: artificial intelligence ethics of demographic, multicultural, and security shifts
- Abstract
- 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
- 6.6 Personalist Social Contract artificial intelligence ethics: at scale, speed, and specificity
- 6.7 Personalist Social Contract artificial intelligence health ethics: African “Ubuntu,” global embodiment, and humanity’s sustainability
- References
- 7. Our common home: artificial intelligence + global public health ecosystem
- Abstract
- 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
- 7.7 The future of the artificial intelligence + global public health ecosystem: just power, serving a humanity worth saving
- 7.8 Conclusion
- References
- Further reading
- Abbreviations
- Index
- No. of pages: 276
- Language: English
- Edition: 1
- Published: June 7, 2024
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780443215971
- eBook ISBN: 9780443215964
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