Big Data, Big Design
Why Designers Should Care about Artificial Intelligence
Seiten
2021
Princeton Architectural Press (Verlag)
978-1-61689-915-8 (ISBN)
Princeton Architectural Press (Verlag)
978-1-61689-915-8 (ISBN)
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.
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.
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.
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).
| Erscheinungsdatum | 19.10.2021 |
|---|---|
| Illustrationen | Keetra Dean Dixon |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 178 x 216 mm |
| Themenwelt | Kunst / Musik / Theater ► Design / Innenarchitektur / Mode |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-61689-915-8 / 1616899158 |
| ISBN-13 | 978-1-61689-915-8 / 9781616899158 |
| Zustand | Neuware |
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