Big Data, Big Design: Why Designers Should Care About Artifical Intelligence
By Helen Armstrong and Keetra Dean Dixon
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.
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.
Design by Helen Armstrong
Illustrations by Keetra Dean Dixon
Edited by Jennifer Thompson and Kristen Hewitt
Published by Princeton Architectural Press, 2021
Softcover, 176 pages, full color, 7 × 8.5 inches