In this book, subtitled "Best Practices for Creating Trustworthy AI Systems", Qinghua Lu, et al. illuminate issues of AI responsibility across the entire system lifecycle and all system components. The authors also offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies.

<ASIN:0138073929>

Authors: Qinghua Lu, Liming Zhu, Jon Whittle and Xiwei Xu
Publisher: Addison-Wesley Professional
Date: January 2024
Pages: 320
ISBN: 978-0134855684
Print: 0138073929
Kindle: ‎ B0CLKYVLPY
Audience: AI developers
Level: Intermediate
Category: Artificial Intelligence

Topics include:

• Governance mechanisms at industry, organisation, and team levels
• Development process perspectives, including software engineering best practices for AI
• System perspectives, including quality attributes, architecture styles, and patterns
• Techniques for connecting code with data and models, including key tradeoffs
• Principle-specific techniques for fairness, privacy, and explainability
• A preview of the future of responsible AI

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