Description: Responsible AI by Qinghua Lu, Jon Whittle, Liming Zhu, CSIRO, Xiwei Xu Estimated delivery 4-14 business days Format Paperback Condition Brand New Description 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 theyre 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 Author Biography Dr. Qinghua Lu (Alexandria, Australia) specialises in responsible AI and software engineering for AI-based systems. She leads both Data61s Software Engineering for AI team and CSIROs Operationalizing Responsible AI Project. Dr. Liming Zhu (Sydney) is a world-leading software architect and software engineering researcher, chairs Australias blockchain standards committee, and contributes to ISO standards for AI trustworthiness. He leads Data61s Responsible AI initiative and Australias new National AI Center. With Len Bass and Ingo Weber, Dr. Zhu is a co-author of DevOps: A Software Architects Perspective. Dr. Jon Whittle (Melbourne) is a world-renowned expert in software engineering and human-computer interaction, with a particular interest in IT for social good, AI research in health sciences, and sustainable development. He leads CSIROs Data61, Australias largest digital innovation organisation. Dr. Sherry Xu (Sydney) was recently ranked as the worlds fourth most impactful consolidated software engineering researcher. She is the lead author of the first blockchain textbook, Architecture for Blockchain Applications. Details ISBN 0138073929 ISBN-13 9780138073923 Title Responsible AI Author Qinghua Lu, Jon Whittle, Liming Zhu, CSIRO, Xiwei Xu Format Paperback Year 2024 Pages 320 Publisher Pearson Education (US) GE_Item_ID:157920926; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 41.27 USD
Location: Calgary, Alberta
End Time: 2024-11-17T10:02:36.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9780138073923
Book Title: Responsible AI
Number of Pages: 320 Pages
Publication Name: Responsible Ai : Best Practices for Creating Trustworthy Ai Systems
Language: English
Publisher: Addison Wesley Professional
Publication Year: 2023
Subject: Intelligence (Ai) & Semantics, General
Item Height: 0.6 in
Type: Textbook
Item Weight: 20.1 Oz
Subject Area: Computers, Science
Author: Qinghua Lu, Csiro, Liming Zhu, Xiwei Xu, Jon Whittle
Item Length: 9.2 in
Item Width: 7.4 in
Format: Trade Paperback
