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Titlebook: Introduction to Responsible AI; Implement Ethical AI Avinash Manure,Shaleen Bengani,Saravanan S Book 2023 Avinash Manure, Shaleen Bengani,

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發(fā)表于 2025-3-21 18:24:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Introduction to Responsible AI
副標(biāo)題Implement Ethical AI
編輯Avinash Manure,Shaleen Bengani,Saravanan S
視頻videohttp://file.papertrans.cn/475/474134/474134.mp4
概述Covers all aspects of responsible AI, from understanding bias to ensuring robustness.Covers methods and tools for achieving transparency and explainability in AI.Includes code examples and tools to tr
圖書(shū)封面Titlebook: Introduction to Responsible AI; Implement Ethical AI Avinash Manure,Shaleen Bengani,Saravanan S Book 2023 Avinash Manure, Shaleen Bengani,
描述.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, you’ll 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 AI’s 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. ..What You Will Learn..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 practice
出版日期Book 2023
關(guān)鍵詞Artificial Intelligence; Machine Learning; Python; Responsible AI; Security in AI; AI Ethics; Accountabili
版次1
doihttps://doi.org/10.1007/978-1-4842-9982-1
isbn_softcover978-1-4842-9981-4
isbn_ebook978-1-4842-9982-1
copyrightAvinash Manure, Shaleen Bengani, Saravanan S 2023
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沙發(fā)
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Introduction, the simulated intelligence of machines capable of mimicking human cognitive processes, has ignited a transformative wave that spans across industries, from health care and finance to education and entertainment. As the boundaries of AI continue to expand, so too does its potential to reshape the very fabric of our society.
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Bias and Fairness,ations. Detecting and mitigating bias is empowered by technology, nurturing transparent and responsible AI. This ongoing quest aligns with ethics, sculpting AI that champions diversity and societal progress.
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Robustness and Reliability,t. In a world increasingly dependent on automated decision making, the robustness of an AI model—its ability to perform consistently under varying conditions—and its reliability—its capacity to produce trustworthy and repeatable results—are not just desirable traits; they are absolute necessities.
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