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.

About the Author:

Helen Armstrong is Director of the MGXD Program and Professor of Graphic & Experience Design at North Carolina State University. Her research focuses on accessible design, digital rights, and machine learning. Her previous books include Graphic Design Theory, Digital Design Theory, and Participate. Armstrong is a past member of the AIGA National Board of Directors, the editorial board of Design and Culture, and a former co-chair of the AIGA Design Educators Community. Her work has been recognized by Print and HOW, and included in numerous publications in the U.S. and the UK. Armstrong is the proud mom of a kid with disabilities and a fierce advocate for designing inclusive, intelligent, interfaces and experiences.

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.

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