001484267 000__ 03596cam\\2200565Mi\4500
001484267 001__ 1484267
001484267 003__ OCoLC
001484267 005__ 20240117003319.0
001484267 006__ m\\\\\o\\d\\\\\\\\
001484267 007__ cr\cn\nnnunnun
001484267 008__ 231125s2023\\\\cau\\\\\o\\\\\001\0\eng\d
001484267 019__ $$a1410594402
001484267 020__ $$a9781484299821$$q(electronic bk.)
001484267 020__ $$a1484299825$$q(electronic bk.)
001484267 020__ $$z1484299817
001484267 020__ $$z9781484299814
001484267 0247_ $$a10.1007/978-1-4842-9982-1$$2doi
001484267 035__ $$aSP(OCoLC)1410562127
001484267 040__ $$aYDX$$beng$$erda$$cYDX$$dOCLCO$$dYDX$$dOCLCO$$dGW5XE$$dEBLCP$$dORMDA
001484267 049__ $$aISEA
001484267 050_4 $$aQ334.7$$b.M36 2023
001484267 08204 $$a006.301$$223
001484267 1001_ $$aManure, Avinash,$$eauthor.
001484267 24510 $$aIntroduction to responsible AI :$$bimplement ethical AI using Python /$$cAvinash Manure, Shaleen Bengani, Saravanan S.
001484267 264_1 $$a[California] :$$bApress,$$c[2023]
001484267 300__ $$a1 online resource
001484267 336__ $$atext$$btxt$$2rdacontent
001484267 337__ $$acomputer$$bc$$2rdamedia
001484267 338__ $$aonline resource$$bcr$$2rdacarrier
001484267 500__ $$aIncludes index.
001484267 5050_ $$aChapter 1: Introduction -- Chapter 2: Bias and Fairness -- Chapter 3: Transparency and Explainability -- Chapter 4: Privacy and Security -- Chapter 5: Ensuring Robustness and Reliability -- Chapter 6: Conclusion.
001484267 506__ $$aAccess limited to authorized users.
001484267 520__ $$aLearn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, youll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios. The book concludes with a chapter devoted to fostering a deeper understanding of responsible AIs profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. You will: Understand the principles of responsible AI and their importance in today's digital world Master techniques to detect and mitigate bias in AI Explore methods and tools for achieving transparency and explainability Discover best practices for privacy preservation and security in AI Gain insights into designing robust and reliable AI models.
001484267 588__ $$aDescription based on online resource; title from digital title page (viewed on December 08, 2023).
001484267 650_6 $$aIntelligence artificielle$$xAspect moral.
001484267 650_6 $$aPython (Langage de programmation)
001484267 650_0 $$aArtificial intelligence$$xMoral and ethical aspects.$$xMedical applications$$0(DLC)sh 88003000
001484267 650_0 $$aPython (Computer program language)$$0(DLC)sh 96008834
001484267 655_0 $$aElectronic books.
001484267 7001_ $$aBengani, Shaleen,$$eauthor.
001484267 7001_ $$aS, Saravanan,$$eauthor.
001484267 77608 $$iPrint version:$$z1484299817$$z9781484299814$$w(OCoLC)1396693043
001484267 852__ $$bebk
001484267 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-9982-1$$zOnline Access$$91397441.1
001484267 909CO $$ooai:library.usi.edu:1484267$$pGLOBAL_SET
001484267 980__ $$aBIB
001484267 980__ $$aEBOOK
001484267 982__ $$aEbook
001484267 983__ $$aOnline
001484267 994__ $$a92$$bISE