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.
Abhijnan Chakraborty & Juhi Kulshrestha
Ethics in Artificial Intelligence: Bias, Fairness and Beyond [EPUB ebook]
Ethics in Artificial Intelligence: Bias, Fairness and Beyond [EPUB ebook]
Mua cuốn sách điện tử này và nhận thêm 1 cuốn MIỄN PHÍ!
Ngôn ngữ Anh ● định dạng EPUB ● ISBN 9789819971848 ● Biên tập viên Abhijnan Chakraborty & Juhi Kulshrestha ● Nhà xuất bản Springer Nature Singapore ● Được phát hành 2023 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 9300642 ● Sao chép bảo vệ Adobe DRM
Yêu cầu trình đọc ebook có khả năng DRM