AI for Good (eBook)

Applications in Sustainability, Humanitarian Action, and Health

Juan M. Lavista Ferres, William B. Weeks (Autoren)

eBook Download: PDF

2024
432 Seiten
John Wiley & Sons (Verlag)
978-1-394-23589-6 (ISBN)

Infos

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 tacking intractable social problems with the power of artificial intelligence (AI). In the book, you'll learn about how climate change, illness and disease, and challenges to fundamental human rights are all being fought using replicable methods and reusable AI code.

The authors also provide:

• Easy-to-follow, non-technical explanations of what AI is and how it works

• Examinations of how healthcare is being improved, climate change is being addressed, and humanitarian aid is being facilitated around the world with AI

• Discussions of the future of AI in the realm of social benefit organizations and efforts

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, and non-profit volunteers.

Autor

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.

Produkt-Details

• Erscheint lt. Verlag: 23.1.2024
• Vorwort: Brad Smith
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Schlagworte: AI • Artificial Intelligence • climate change ai • Computer Science • health ai • Informatik • KI • Künstliche Intelligenz • misinformation ai • nonprofit ai • OpenAI • philanthropic ai • philanthropy ai • social benefit ai • social benefit machine learning • social change and ai • social good ai • sustainability ai
• ISBN-10: 1-394-23589-5 / 1394235895
• ISBN-13: 978-1-394-23589-6 / 9781394235896