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Ethics in Artificial Intelligence: Bias, Fairness and Beyond - Studies in Computational Intelligence 2023 edition
Ethics in Artificial Intelligence: Bias, Fairness and Beyond - Studies in Computational Intelligence
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.
143 pages, 16 Illustrations, color; 2 Illustrations, black and white; XII, 143 p. 18 illus., 16 illu
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 3 de enero de 2024 |
| ISBN13 | 9789819971831 |
| Editores | Springer Verlag, Singapore |
| Páginas | 143 |
| Dimensiones | 242 × 164 × 17 mm · 392 g |
| Editor | Chakraborty, Abhijnan |
| Editor | Kulshrestha, Juhi |
| Editor | Kumar, Srijan |
| Editor | Mukherjee, Animesh |