AI for Good 1st Edition

AI for Good, 1st Edition by Juan M. Lavista Ferres and William B. Weeks is a timely, practical guide for anyone who wants to harness artificial intelligence to solve real-world problems. Clear and compelling, this edition bridges technical know-how and social purpose, showing how AI can drive positive outcomes in healthcare, education, environmental protection, public policy, and smart cities worldwide.

Discover approachable explanations of machine learning concepts paired with real-world case studies that span global contexts—from urban planning in Europe to health initiatives in Africa and community projects in Latin America. The authors translate complex ideas into actionable strategies for developers, data scientists, nonprofit leaders, and policymakers, emphasizing responsible design, transparency, and measurable impact.

You’ll find thoughtful frameworks for assessing risk and equity, practical methods for deploying models at scale, and guidance on aligning AI projects with community needs and regulatory landscapes. Built for readers with technical backgrounds and those new to the field, the book balances depth with accessibility and highlights success stories and cautionary lessons alike.

Whether you’re building an AI-driven public service, advising on ethical policy, or leading a social-impact startup, this book equips you with the tools to make data-driven decisions that benefit people and the planet. Add AI for Good, 1st Edition to your professional library today and begin turning intelligent technology into measurable social change.

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