Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safety, Privacy, and Robustness

This book provides a Responsible AI framework and guides through processes to apply at each stage of the ML life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in AI technologies. It helps you avoid negative impacts and develop models that are fair, transparent, safe, secure, and robust.

Format: Paperback / softback
Length: 190 pages
Publication date: 13 August 2023
Publisher: APress

This comprehensive book presents a Responsible AI framework, providing a comprehensive guide for applying it throughout the machine learning (ML) life cycle. From problem definition to deployment, it aims to mitigate the risks and harms associated with artificial intelligence (AI) technologies. By emphasizing the importance of responsible and ethical AI practices, the book empowers readers to develop models that are fair, transparent, safe, secure, and robust.

The approach adopted in this book raises awareness about the potential missteps that can lead to negative outcomes in AI technologies, offering a Responsible AI framework to ensure responsible and ethical results in ML. It begins by examining the foundational elements of responsibility, principles, and data. Subsequently, it provides guidance on implementation, addressing critical issues such as fairness, transparency, safety, privacy, and robustness. The book equips readers with the skills to think responsibly while building AI and ML models, guiding them through practical steps to deliver responsible ML models, datasets, and products for their end users and customers.

Who This Book Is For:

This book is a valuable resource for AI and ML practitioners seeking guidance on building models that are fair, transparent, and ethical. It is also suitable for those seeking awareness of the missteps that can lead to unintentional bias and harm from their AI algorithms, as well as policy makers planning to shape the future of AI. By embracing the principles outlined in this book, readers can contribute to the development of a more responsible and beneficial AI ecosystem.

Weight: 326g
Dimension: 235 x 155 (mm)
ISBN-13: 9781484293058
Edition number: 1st ed.