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Trustworthy AI: From Theory to Practice by Murat Kuzlu Paperback Book

Description: Trustworthy AI by Murat Kuzlu, Ferhat Ozgur Catak Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This comprehensive book covers the concept of trustworthy AI, which is an essential paradigm in todays AI-based system. It is designed for developers, researchers, and end-users seeking a deep understanding of how AI systems are ethical, reliable, and equitable. The book begins by addressing the principles of trustworthy AI and their importance in high-risk applications like healthcare, finance, autonomous vehicles, and law.The core of this book is an exploration of the six principles of trustworthy AI, i.e. reliability, transparency, fairness, accountability, inclusiveness, privacy, and security. Each principle is thoroughly examined, demonstrating how they interact with AI systems to make them more efficient, and robust but also ethical, and equitable. This book explores the concept of transparency in depth, highlighting the necessity for AI systems to be understandable and accessible to all stakeholders. Fairness is examined as a critical aspect, focusing on designing and deploying AI systems that mitigate biases and offer equitable outcomes for all. It also covers AI systems accountability, inclusiveness, privacy, and security. It is a big challenge to develop AI technologies that are advanced in capabilities and uphold the highest ethical standards, building trust among users and stakeholders. This book is written for anyone involved in AI development, deployment, and testing. It provides theoretical knowledge along with practical guidance. It serves as a comprehensive guide to transforming AI from a powerful tool into a force for good, aligning with human values and principles of fairness and transparency. As a result, readers will gain the knowledge and skill to create effective strategies for trustworthy AI, which is not just technologically advanced but also ethically and socially responsible. Details ISBN-13 9798882536793 Title Trustworthy AI Author Murat Kuzlu, Ferhat Ozgur Catak Format Paperback Year 2024 Pages 278 Publisher Independently Published GE_Item_ID:158813032; 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: 34.99 USD

Location: Fairfield, Ohio

End Time: 2024-11-16T04:07:49.000Z

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Trustworthy AI: From Theory to Practice by Murat Kuzlu Paperback Book

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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

Format: Paperback

ISBN-13: 9798882536793

Author: Murat Kuzlu, Ferhat Ozgur Catak

Type: NA

Book Title: Trustworthy AI

Language: Does not apply

Publication Name: NA

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