Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem 1st Edition

Responsible Artificial Intelligence: Re-engineering the Global Public Health Ecosystem (1st Edition) by Dominique Monlezun is a timely, practical roadmap for integrating ethical AI into health systems around the world. Whether you work in government, hospitals, NGOs, academia, or technology, this book offers clear guidance to harness AI responsibly for better health outcomes across high-, middle-, and low-income settings.

Start with a compelling overview of how AI can transform disease surveillance, resource allocation, and patient care—without sacrificing equity, privacy, or accountability. Monlezun combines policy insight, real-world examples, and multidisciplinary frameworks to help readers understand technical concepts and translate them into actionable public health strategies. Emphasis on fairness, transparency, and governance makes the book especially relevant for policymakers and practitioners navigating complex regulatory environments.

Discover practical frameworks to assess AI risk, prioritize community-centered design, and implement scalable solutions—from urban hospitals in Europe and North America to rural clinics in Africa and Asia. The text foregrounds ethical considerations and global equity, making it essential for anyone aiming to deploy AI tools that respect diverse populations and legal contexts.

If you need an authoritative, accessible guide to lead responsible AI initiatives within the global public health ecosystem, Dominique Monlezun’s 1st Edition is the resource to consult. Purchase your copy today and begin re-engineering health systems with integrity, insight, and impact.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.