
Big Data, Big Design
Why Designers Should Care about Artificial Intelligence
Helen Armstrong(Author)
Princeton Architectural Press
Will be published approx. on 11. November 2021
Book
Paperback/Softback
176 pages
978-1-61689-915-8 (ISBN)
Description
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.
More details
Language
English
Place of publication
New York
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 218 mm
Width: 179 mm
Thickness: 15 mm
Weight
450 gr
ISBN-13
978-1-61689-915-8 (9781616899158)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
11/2021
Princeton Architectural Press
€18.49
Available for download
Persons
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).