Human-In-The-Loop Artificial Intelligence
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Overview
This book provides a comprehensive exploration of human-in-the-loop artificial intelligence (AI), covering topics that range from its fundamental concepts to data quality control, learning methods, explainability, incentive design, fairness, and ultimately human-AI collaboration.
The first half of the book organizes the theoretical foundations of human-in-the-loop AI and the design principles that support them, while the second half discusses how these ideas can be applied in real-world systems and applications, as well as the broader social implications of human-in-the-loop AI. Each chapter is self-contained and can be read independently, depending on the reader's interests and needs.
This book is suitable for researchers, practitioners, and students who are working on a wide variety of topics in AI.
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Details
- ISBN-13: 9789819207251
- ISBN-10: 9819207258
- Publisher: Springer
- Publish Date: February 2027
- Page Count: 197
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