Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem
Morgan Kaufmann Publishers In (Verlag)
9780443215971 (ISBN)
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.
Dominique J Monlezun MD, PhD, PhD, MPH is a practicing physician-data scientist and AI ethicist. He serves as a Mayo Clinic physician, Professor of Cardiology for two American academic medical institutions, Professor of Bioethics for two United Nations-affiliated universities, and the Principal Investigator and Senior Data Scientist and Biostatistician for over 100 research studies associated with Harvard University, the National Institutes of Health, and dozens of low- and middle-income countries.
1. POWER AND AI: TRANSFORMATION OF THE GLOBAL PUBLIC HEALTH ECOSYSTEM
2. DESIGN PART I: AI + FINANCING
3. DESIGN PART II: AI I(NTEGRAL+) S(USTAINABLE) DEVELOPMENT
4. FRAMEWORK PART I: AI + DATA ARCHITECTURE
5. Value supply chains + GPE
6. Demographic shifts + GPE
7. Integral development + GPE
| Erscheinungsdatum | 22.08.2024 |
|---|---|
| Verlagsort | San Francisco |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Gewicht | 450 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung | |
| ISBN-13 | 9780443215971 / 9780443215971 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich