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

Armstrong, Helen

Softcover

ISBN 10: 1616899158 ISBN 13: 9781616899158

Publisher: Princeton Architectural Press, 2021

Synopsis

Big Data Big Design defines and explores what every designer needs to know about artificial intelligence (AI) and machine learning (ML), all the while inspiring designers to harness this technology and establish leadership via thoughtful, human-centered design. It’s not just about the algorithms, it’s about what we do with the data once received. Ellen lupton says, “ Important and accessible!” Readers will explore the principles and cultural context of Ai and ML, as well as gain an understanding of the design opportunities and pitfalls that arise as designers incorporate predictive algorithms into their practice. Designers will walk away from this portable, friendly book inspired by practical and theoretical knowledge that will allow them to make thoughtful decisions as this technology unfolds.

About this title

About the Author

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).

From the Back Cover

Big Data Big Design defines and explores what every designer needs to know about artificial intelligence (AI) and machine learning (ML), all the while inspiring designers to harness this technology and establish leadership via thoughtful, human-centered design. It’s not just about the algorithms, it’s about what we do with the data once received. Ellen lupton says, “ Important and accessible!” Readers will explore the principles and cultural context of Ai and ML, as well as gain an understanding of the design opportunities and pitfalls that arise as designers incorporate predictive algorithms into their practice. Designers will walk away from this portable, friendly book inspired by practical and theoretical knowledge that will allow them to make thoughtful decisions as this technology unfolds.

Edition details

• Publisher: Princeton Architectural Press
• Publication date: 2021
• Language: English
• ISBN 10: 1616899158
• ISBN 13: 9781616899158
• Binding: Paperback
• Illustrator: Dixon Keetra Dean
• Edition number: 1
• Number of pages: 176