AI for Good: Applications in Sustainability, Humanitarian Action, and Health
- 9h 20m 20s
- Juan M. Lavista Ferres, William B. Weeks
- Gildan Media
- 2024
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
- 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.
About the Author
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.
In this Audiobook
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Introduction
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Chapter 1 - What Is Artificial Intelligence and How Can It Be Used for Good?
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Chapter 2 - Artificial Intelligence: Its Application and Limitations
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Chapter 3 - Commonly Used Processes and Terms
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Chapter 4 - Deep Learning with Geospatial Data
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Chapter 5 - Nature-Dependent Tourism
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Chapter 6 - Wildlife Bioacoustics Detection
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Chapter 7 - Using Satellites to Monitor Whales from Space
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Chapter 8 - Social Networks of Giraffes
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Chapter 9 - Data-driven Approaches to Wildlife Conflict Mitigation in the Maasai Mara
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Chapter 10 - Mapping Industrial Poultry Operations at Scale
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Chapter 11 - Identifying Solar Energy Locations in India
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Chapter 12 - Mapping Glacial Lakes
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Chapter 13 - Forecasting and Explaining Degradation of Solar Panels with AI
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Chapter 14 - Post-Disaster Building Damage Assessment
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Chapter 15 - Dwelling Type Classification
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Chapter 16 - Damage Assessment Following the 2023 Earthquake in Turkey
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Chapter 17 - Food Security Analysis
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Chapter 18 - BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
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Chapter 19 - Broadband Connectivity
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Chapter 20 - Monitoring the Syrian War with Natural Language Processing
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Chapter 21 - The Proliferation of Misinformation Online
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Chapter 22 - Unlocking the Potential of AI with Open Data
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Chapter 23 - Detecting Middle Ear Disease
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Chapter 24 - Detecting Leprosy in Vulnerable Populations
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Chapter 25 - Automated Segmentation of Prostate Cancer Metastases
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Chapter 26 - Screening Premature Infants for Retinopathy of Prematurity in Low-Resource Settings
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Chapter 27 - Long-Term Effects of COVID-19
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Chapter 28 - Using Artificial Intelligence to Inform Pancreatic Cyst Management
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Chapter 29 - NLP-Supported Chatbot for Cigarette Smoking Cessation
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Chapter 30 - Mapping Population Movement Using Satellite Imagery
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Chapter 31 - The Promise of AI and Generative Pre-Trained Transformer Models in Medicine
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Epilogue: Getting Good at AI for Good
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AI and Satellites: Critical Tools to Help Us with Planetary Emergencies
