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Human-Centered Machine Learning
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Human-Centered Machine Learning
This collection of articles and interviews by world-leading researchers surveys human-centered approaches to machine learning that can make AI more human-friendly, usable, and ethical, providing a handbook for students, researchers, and practitioners who want new ways of approaching AI that place humanity at their center.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 3 de septiembre de 2026 |
| ISBN13 | 9781108836753 |
| Editores | Cambridge University Press |
| Páginas | 357 |
| Dimensiones | 150 × 220 × 20 mm · 626 g (Peso (estimado)) |
| Editor | Fiebrink, Rebecca (University of the Arts London) |
| Editor | Gillies, Marco (Goldsmiths, University of London) |
| Editor | Ramos, Gonzalo (CNRS, Sorbonne Universite) |
