Big Data, Big Design: Why Designers Should Care about Artificial Intelligence

Author:   Helen Armstrong ,  Keetra Dean Dixon
Publisher:   Princeton Architectural Press
ISBN:  

9781616899158


Pages:   176
Publication Date:   11 November 2021
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Big Data, Big Design: Why Designers Should Care about Artificial Intelligence


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Author:   Helen Armstrong ,  Keetra Dean Dixon
Publisher:   Princeton Architectural Press
Imprint:   Princeton Architectural Press
ISBN:  

9781616899158


ISBN 10:   1616899158
Pages:   176
Publication Date:   11 November 2021
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Reviews

Big Data, Big Designprovides 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. - Creative Quarterly Through interviews, essays, and theory, Big Data, Big Design provides designers with the tools they need to harness the potential of AI and ML-and put it to good use. - Fast Company, Training machines to learn is one of the most critical design challenges of our time. Helen Armstrong's book is an invitation to designers to engage this process in ways that are inclusive, equitable, and creative. - Ellen Lupton, Author of Thinking with Type,


[I]t is hard to overemphasize the importance and utility of a book like Big Data, Big Design, which takes an overwhelmingly complex and technical subject and translates it into accessible language for designers of any discipline so that we can better understand how it affects us. The Dirt (ASLA) Armstrong poses critical design questions, providing a pathway to the rapidly transforming terrain....As a collaborative effort between designers, researchers, and data scientists, this volume will be particularly appealing to those interested in the many interdisciplinary and international interactions between scholars and business professionals. - ALA/Choice Big Data, Big Designprovides 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. - Creative Quarterly Through interviews, essays, and theory, Big Data, Big Design provides designers with the tools they need to harness the potential of AI and ML-and put it to good use. - Fast Company, Training machines to learn is one of the most critical design challenges of our time. Helen Armstrong's book is an invitation to designers to engage this process in ways that are inclusive, equitable, and creative. - Ellen Lupton, Author of Thinking with Type,


Training machines to learn is one of the most critical design challenges of our time. Helen Armstrong's book is an invitation to designers to engage this process in ways that are inclusive, equitable, and creative. - Ellen Lupton, Author of Thinking with Type,


Author Information

Helen Armstrong views design from across the spectrum as a designer, educator, and researcher. She is an associate professor of graphic design at North Carolina State University. In addition to teaching, she wrote Graphic Design Theory: Readings from the Field (Princeton Architectural Press, 2009) and Digital Design Theory: Readings from the Field (Princeton Architectural Press, 2016) and co-wrote, with Zvezdana Stojmirovic, Participate: Designing with User-Generated Content (Princeton Architectural Press, 2011).

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