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Bitan Misra
Machine Unlearning: Principles, Methods, and Evolving Frontiers
Machine Unlearning: Principles, Methods, and Evolving Frontiers
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- More about Machine Unlearning: Principles, Methods, and Evolving Frontiers
This book explores one of the most critical and emerging fields in artificial intelligence (AI): machine unlearning. As data privacy concerns grow and regulations like GDPR (General Data Protection Regulation) demand compliance, this book provides a comprehensive guide to selectively removing learned information from machine learning models without sacrificing performance or requiring complete retraining. Covering foundational principles, advanced algorithms, benchmarking tools, and real-world case studies in healthcare, finance, and social media, the book bridges the gap between theory and practice. It also addresses ethical, legal, and societal implications, offering insights into creating trustworthy AI systems. This book is an essential resource for understanding and implementing machine unlearning in the era of responsible AI.
- Publication date: 13 September 2026
- Page count: 106
- Dimensions: Height 234 mm; Width 156 mm
- Publisher: Taylor & Francis Ltd
- Format: Hardback
- ISBN-13: 9781041295310
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