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Titlebook: Ethics in Artificial Intelligence: Bias, Fairness and Beyond; Animesh Mukherjee,Juhi Kulshrestha,Srijan Kumar Book 2023 The Institution of

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书目名称Ethics in Artificial Intelligence: Bias, Fairness and Beyond
编辑Animesh Mukherjee,Juhi Kulshrestha,Srijan Kumar
视频video
概述Presents collection of chapters in the newly developing area of ethics in artificial intelligence.Discusses both theoretical and practical aspects of integrating ethics into artificial intelligence.Se
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Ethics in Artificial Intelligence: Bias, Fairness and Beyond;  Animesh Mukherjee,Juhi Kulshrestha,Srijan Kumar Book 2023 The Institution of
描述.This book is a collection of chapters in the newly developing area of ethics in artificial intelligence. The book comprises chapters written by leading experts in this area which makes it a one of its kind collections. Some key features of the book are its unique combination of chapters on both theoretical and practical aspects of integrating ethics into artificial intelligence. The book touches upon all the important concepts in this area including bias, discrimination, fairness, and interpretability. Integral components can be broadly divided into two segments – the first segment includes empirical identification of biases, discrimination, and the ethical concerns thereof in impact assessment, advertising and personalization, computational social science, and information retrieval. The second segment includes operationalizing the notions of fairness, identifying the importance of fairness in allocation, clustering and time series problems, and applications of fairness in softwaretesting/debugging and in multi stakeholder platforms. This segment ends with a chapter on interpretability of machine learning models which is another very important and emerging topic in this area..
出版日期Book 2023
关键词Fairness; Bias; Discrimination; Interpretability; Ethics; Philosophy of Artificial Intelligence
版次1
doihttps://doi.org/10.1007/978-981-99-7184-8
isbn_softcover978-981-99-7186-2
isbn_ebook978-981-99-7184-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Institution of Engineers (India) 2023
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Claudia Lemke,Dagmar Monett,Manuel Mikoleitple, one might wish to screen resumes in real-time as they are submitted; in this setting, the feedback used to make the screening decisions (such as ultimate hiring decisions on past resumes) might be provided over time as well. While fairness concerns have received significant attention in offline
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Bart Hompes,Prabhakar Dixit,Joos Buijsomputational social science (CSS) studies can suffer from biases during the data construction, collection and analysis phases as well as encounter challenges of generalizability and ethics. Given the interdisciplinary nature of CSS, many factors such as the need for a comprehensive understanding of
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