Ethics in Artificial Intelligence Bias Fairness and Beyond is popular PDF and ePub book, written by Animesh Mukherjee in 2024-01-30, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Ethics in Artificial Intelligence Bias Fairness and Beyond can be Read Online from any device for your convenience.
Ethics in Artificial Intelligence Bias Fairness and Beyond Book PDF Summary
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 software testing/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.
Detail Book of Ethics in Artificial Intelligence Bias Fairness and Beyond PDF
- Author : Animesh Mukherjee
- Release : 30 January 2024
- Publisher : Springer Nature
- ISBN : 9789819971848
- Genre : Technology & Engineering
- Total Page : 150 pages
- Language : English
- PDF File Size : 17,5 Mb
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