Introduction to Responsible AI: Implement Ethical AI Using Python

Responsible AI models can be learned and implemented using Python, balancing ethical challenges with opportunities. This book covers key principles, detecting and mitigating bias, making decisions understandable, preserving privacy, ensuring security, and designing robust models. It provides hands-on approaches with practical insights and code snippets, enabling readers to translate ethical considerations into actionable solutions.

Format: Paperback / softback
Length: 184 pages
Publication date: 23 November 2023
Publisher: APress

Responsible AI models are essential for ensuring that artificial intelligence is used in a way that is ethical and beneficial to society. This book provides a comprehensive guide to developing and implementing responsible AI models using Python. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you'll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios. The book concludes with a chapter devoted to fostering a deeper understanding of responsible AIs profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions.

Who This Book Is For:

AI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI.

Weight: 310g
Dimension: 154 x 235 x 15 (mm)
ISBN-13: 9781484299814
Edition number: 1st ed.