Introduction to responsible AI : implement ethical AI using Python

Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The a...

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Bibliographic Details
Main Authors: Manure, Avinash, (Author), Bengani, Shaleen, (Author), S, Saravanan, (Author)
Format: eBook
Language: English
Published: [California] : Apress, [2023]
Subjects:
Artificial intelligence > Moral and ethical aspects.
Python (Computer program language)
elektronické knihy
electronic books
ISBN: 9781484299821
1484299825
1484299817
9781484299814
Physical Description: 1 online resource

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Table of contents

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035 |a (OCoLC)1410562127  |z (OCoLC)1410594402 
100 1 |a Manure, Avinash,  |e author. 
245 1 0 |a Introduction to responsible AI :  |b implement ethical AI using Python /  |c Avinash Manure, Shaleen Bengani, Saravanan S. 
264 1 |a [California] :  |b Apress,  |c [2023] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
505 0 |a Chapter 1: Introduction -- Chapter 2: Bias and Fairness -- Chapter 3: Transparency and Explainability -- Chapter 4: Privacy and Security -- Chapter 5: Ensuring Robustness and Reliability -- Chapter 6: Conclusion. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence. 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, youll 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. You will: Understand the principles of responsible AI and their importance in today's digital world Master techniques to detect and mitigate bias in AI Explore methods and tools for achieving transparency and explainability Discover best practices for privacy preservation and security in AI Gain insights into designing robust and reliable AI models. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Artificial intelligence  |x Moral and ethical aspects. 
650 0 |a Python (Computer program language) 
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655 9 |a electronic books  |2 eczenas 
700 1 |a Bengani, Shaleen,  |e author. 
700 1 |a S, Saravanan,  |e author. 
776 0 8 |i Print version:  |z 1484299817  |z 9781484299814  |w (OCoLC)1396693043 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpIRAIIEAG/introduction-to-responsible?kpromoter=marc  |y Full text 

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