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FOREWORD BY BRAD SMITH, VICE CHAIR AND PRESIDENT OF MICROSOFT
Discover how AI leaders and researchers are using AI to transform the world for the better
In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you'll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses.
The authors also provide:
An essential guide to impactful social change with artificial intelligence, AI for Good is a must-read resource for technical and non-technical professionals interested in AI's social potential, as well as policymakers, regulators, NGO professionals, and non-profit volunteers.
Auteur
JUAN M. LAVISTA FERRES, PHD, MS, is the Microsoft Chief Data Scientist and the Director of the AI for Good Lab at Microsoft. WILLIAM B. WEEKS, MD, PHD, MBA, is the Director of AI for Health at Microsoft.
Texte du rabat
People around the world face significant problems that require creative and innovative solutions. New technologies often form the foundation of those solutions, offering fresh capabilities that promise to make short work of stubborn issues. One of these categories of tech, however, is having an even greater impact than most others: artificial intelligence.
In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran data science and artificial intelligence (AI) leaders deliver an intuitive and non-technical exploration of how Microsoft is applying AI and machine learning to seemingly intractable problems around the world and achieving incredible results. In the book, you'll explore the work of Microsoft's philanthropic AI for Good Lab, which tackles global issues using methods that can be replicated and reapplied by other social entrepreneurs, philanthropists, and volunteers.
After discussing the basics of artificial intelligence--including what it is and how it works--the authors explain the real-world problems being mitigated and solved by AI. You'll learn how Microsoft is using AI to solve problems in sustainability, humanitarian action, and health.
Perfect for techincal and non-technical professionals with an interest in artificial intelligence, machine learning, and social benefit organizations, AI for Good will also prove invaluable to policymakers, regulators, non-governmental organization (NGO) professionals, and nonprofit board members and volunteers. It's an engrossing and insightful new take on how some of the world's brightest people are harnessing cutting-edge tech to finally solve age-old problems.
100% of the author royalties from this book are being donated to support humanitarian relief efforts.
Résumé
FOREWORD BY BRAD SMITH, VICE CHAIR AND PRESIDENT OF MICROSOFT Discover how AI leaders and researchers are using AI to transform the world for the better In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you'll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses. The authors also provide: Easy-to-follow, non-technical explanations of what AI is and how it works Examples of the use of AI for scientists working on mitigating climate change, showing how AI can better analyze data without human bias, remedy pattern recognition deficits, and make use of satellite and other data on a scale never seen before so policy makers can make informed decisions Real applications of AI in humanitarian action, whether in speeding disaster relief with more accurate data for first responders or in helping address populations that have experienced adversity with examples of how analytics is being used to promote inclusivity A deep focus on AI in healthcare where it is improving provider productivity and patient experience, reducing per-capita healthcare costs, and increasing care access, equity, and outcomes * Discussions of the future of AI in the realm of social benefit organizations and efforts Beyond the work of the authors, contributors, and researchers highlighted in the book, AI For Good begins with a foreword from Microsoft Vice Chair and President Brad Smith. There, Smith details the Microsoft rationale behind the creation of and continued investment in the AI for Good Lab. The vision is one of hope with AI saving lives in disasters, improving health care globally, and Microsoft's mission to make sure AI's benefits are available to all. An essential guide to impactful social change with artificial intelligence, AI for Good is a must-read resource for technical and non-technical professionals interested in AI's social potential, as well as policymakers, regulators, NGO professionals, and non-profit volunteers.
Contenu
Foreword xix
Brad Smith, Vice Chair and President of Microsoft
Introduction xxiii
William B. Weeks, MD, PhD, MBA
A Call to Action xxvi
Juan M. Lavista Ferres
Part I: Primer on Artificial Intelligence and Machine Learning 1
Chapter 1: What Is Artificial Intelligence and How Can It Be Used for Good? 3
William B. Weeks
What Is Artificial Intelligence? 5
What If Artificial Intelligence Were Used to Improve Societal Good? 6
Chapter 2: Artificial Intelligence: Its Application and Limitations 9
Juan M. Lavista Ferres
Why Now? 11
The Challenges and Lessons Learned from Using Artificial Intelligence 13
Large Language Models 24
Chapter 3: Commonly Used Processes and Terms 33
William B. Weeks and Juan M. Lavista Ferres
Common Processes 33
Commonly Used Measures 35
The Structure of the Book 37
Part II: Sustainability 39
Chapter 4: Deep Learning with Geospatial Data 41
Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Amrita Gupta, Girmaw Adebe Tadesse, Akram Zaytar, and Gilles Quentin Hacheme
Executive Summary 41
Why Is This Important? 42
Methods Used 43
Findings 44
…