Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design.

Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.

Author: Helen Armstrong
Binding Type: Paperback
Publisher: Princeton Architectural Press
Published: 10/19/2021
Pages: 176
Weight: 1lbs
Size: 8.55h x 7.09w x 0.49d
ISBN: 9781616899158


Review Citation(s):
Choice 04/01/2022

About the Author
Helen Armstrong is a professor of graphic design at North Carolina State University in Raleigh, North Carolina. Her previous books include Graphic Design Theory, Digital Design Theory, and Participate.

Keetra Dean Dixon is a designer, former professor at RISD, and winner of a US Presidential Award with a permanent design collection at SFMOMA, based on the East Coast and rural Alaska.