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001439713 001__ 1439713
001439713 003__ OCoLC
001439713 005__ 20230309004516.0
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001439713 020__ $$a9783030768607$$q(electronic bk.)
001439713 020__ $$a3030768600$$q(electronic bk.)
001439713 020__ $$z9783030769772
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001439713 0247_ $$a10.1007/978-3-030-76860-7$$2doi
001439713 035__ $$aSP(OCoLC)1268327103
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001439713 049__ $$aISEA
001439713 050_4 $$aQ336$$b.A43 2021
001439713 08204 $$a006.3$$223
001439713 1001_ $$aAgarwal, Sray,$$eauthor.
001439713 24510 $$aResponsible AI :$$bimplementing ethical and unbiased algorithms /$$cSray Agarwal, Shashin Mishra.
001439713 264_1 $$aCham :$$bSpringer,$$c[2021]
001439713 264_4 $$c©2021
001439713 300__ $$a1 online resource (xix, 177 pages) :$$billustrations (chiefly color)
001439713 336__ $$atext$$btxt$$2rdacontent
001439713 337__ $$acomputer$$bc$$2rdamedia
001439713 338__ $$aonline resource$$bcr$$2rdacarrier
001439713 347__ $$atext file
001439713 347__ $$bPDF
001439713 504__ $$aIncludes bibliographical references.
001439713 5050_ $$aIntroduction -- Fairness and proxy features -- Bias in data -- Explainability -- Remove bias from ML model -- Remove bias from ML output -- Accountability in AI -- Data and model privacy -- Conclusion.
001439713 506__ $$aAccess limited to authorized users.
001439713 520__ $$aThis book is written for software product teams that use AI to add intelligent models to their products or are planning to use it. As AI adoption grows, it is becoming important that all AI driven products can demonstrate they are not introducing any bias to the AI-based decisions they are making, as well as reducing any pre-existing bias or discrimination. The responsibility to ensure that the AI models are ethical and make responsible decisions does not lie with the data scientists alone. The product owners and the business analysts are as important in ensuring bias-free AI as the data scientists on the team. This book addresses the part that these roles play in building a fair, explainable and accountable model, along with ensuring model and data privacy. Each chapter covers the fundamentals for the topic and then goes deep into the subject matter--providing the details that enable the business analysts and the data scientists to implement these fundamentals. AI research is one of the most active and growing areas of computer science and statistics. This book includes an overview of the many techniques that draw from the research or are created by combining different research outputs. Some of the techniques from relevant and popular libraries are covered, but deliberately not drawn very heavily from as they are already well documented, and new research is likely to replace some of it. Hands-on approach to ensure easy practical implementation of the concepts discussed Most of the techniques covered are new, with only a few that refer to existing packages. For the techniques covered, the book goes deep into the subject matter and includes code to help the product teams implement these techniques for their products Also addresses the contribution that product owners and the business analysts make to the product being fair and explainable, explaining every topic in detail, including the math involved Covers the end-to-end view of what any software product team needs to do to be able to create a robust, successful and fair AI-driven product Most of the chapters include notes sections throughout to cover the topic in progress for all audiences. Non-technical readers will also benefit by the introductions and conclusions for the book and in each of the chapters.
001439713 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 28, 2021).
001439713 650_0 $$aArtificial intelligence$$xComputer programs.
001439713 650_0 $$aArtificial intelligence$$xMoral and ethical aspects.
001439713 650_6 $$aIntelligence artificielle$$xLogiciels.
001439713 650_6 $$aIntelligence artificielle$$xAspect moral.
001439713 655_0 $$aElectronic books.
001439713 7001_ $$aMishra, Shashin,$$eauthor.
001439713 77608 $$iPrint version:$$z3030769771$$z9783030769772$$w(OCoLC)1247826782
001439713 852__ $$bebk
001439713 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-76860-7$$zOnline Access$$91397441.1
001439713 909CO $$ooai:library.usi.edu:1439713$$pGLOBAL_SET
001439713 980__ $$aBIB
001439713 980__ $$aEBOOK
001439713 982__ $$aEbook
001439713 983__ $$aOnline
001439713 994__ $$a92$$bISE