Condition: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 1.11. Seller Inventory # 353-0138073929-lkn

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Responsible AI: Best Practices for Creating Trustworthy AI Systems

CSIRO

Published by Pearson Education (US), 2023

ISBN 10: 0138073929 ISBN 13: 9780138073923

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Seller: THE SAINT BOOKSTORE, Southport, United Kingdom

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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9780138073923

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Responsible AI: Best Practices for Creating Trustworthy AI Systems by CSIRO, Lu, Qinghua, Zhu, Liming, Whittle, Jon, Xu, Xiwei [Paperback ]

"CSIRO", "Lu, Qinghua", "Zhu, Liming", "Whittle, Jon", "Xu, Xiwei"

Published by Addison-Wesley Professional, 2023

ISBN 10: 0138073929 ISBN 13: 9780138073923

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Responsible AI (Paperback)

Qinghua Lu

Published by Pearson Education (US), Boston, 2024

ISBN 10: 0138073929 ISBN 13: 9780138073923

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Seller: Grand Eagle Retail, Wilmington, DE, U.S.A.

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Paperback. Condition: new. Paperback. AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they're often too 'high-level' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too 'low-level' to adequately address ethics and responsibility. In this timely, practical guide, pioneering AI practitioners bridge these gaps. The authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies. Samples Preview sample pages from Responsible AI: Best Practices for Creating Trustworthy AI Systems > Writing for technologists, decision-makers, students, users, and other stake-holders, the topics cover: Governance mechanisms at industry, organisation, and team levelsDevelopment process perspectives, including software engineering best practices for AISystem perspectives, including quality attributes, architecture styles, and patternsTechniques for connecting code with data and models, including key tradeoffsPrinciple-specific techniques for fairness, privacy, and explainabilityA preview of the future of responsible AI Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780138073923

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