Human-Centered Machine Learning
$193.68
- Hardcover
357 pages
- Release Date
31 August 2026
Summary
This collection of articles and interviews surveys human-centered approaches to machine learning that can make AI more human-friendly, usable, and ethical. It provides a handbook for students, researchers, and practitioners who want new ways of approaching AI that place humanity at their center. It shows how to apply methods from human-computer interaction to the new technologies of AI and ML with a view to enabling computing technology to become user-friendly and human-centric.
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Book Details
| ISBN-13: | 9781108836753 |
|---|---|
| ISBN-10: | 1108836755 |
| Author: | Rebecca Fiebrink, Marco Gillies, Gonzalo Ramos |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Hardcover |
| Number of Pages: | 357 |
| Release Date: | 31 August 2026 |
Critics Review
‘Human-Centered Machine Learning grounds us in the perspectives and techniques we need to shape AI as a benefit for society by being explicit about what we already know about designing technology for people and humanity and how that applies to machine learning. A book to ground us in this moment of rapid change.’ Cecily Morrison, Microsoft Research
‘Machine learning is already human-centered-just not always on purpose. Built from our data, shaped by our choices, and deployed into our messy world, it reflects us. This collection shows how to make that explicit: with clear principles, real practices, and better judgment about what we build and why.’ Jess Holbrook, Head of UX Research for Microsoft AI
Rebecca Fiebrink
Rebecca Fiebrink
Rebecca Fiebrink is Professor of Creative Computing at the University of the Arts London Creative Computing Institute. She works on new technologies to enable new forms of human expression, creativity, and embodied interaction. She developed the Wekinator tool for real-time interactive machine learning, which enables creative practitioners to develop new real-time, gestural interactions.
Marco Gillies
Marco Gillies is Professor of Computing at Goldsmiths, University of London and has a Ph.D. from the University of Cambridge. He has more than twenty-five years of experience working at the interface of artificial intelligence and virtual reality, in particular, using human-centered machine learning to develop new, embodied ways of interacting with VR.
Gonzalo Ramos
Gonzalo Ramos is Principal Researcher at Microsoft Research in Redmond. He currently works on ideating, developing, and studying ways in which technology can both protect and augment people’s cognition. As Researcher and Creative Technologist, he has helped develop frameworks such as Interactive Machine Teaching as well as novel experiences with direct interaction with videos, 3D scenes, and remote environments.
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