Big data, big design why designers should care about artificial intelligence /
"Big Data. Big Design. (BDBD) demystifies machine learning (ML) while inspiring designers to harness this technology and establish leadership via thoughtful human-centered design"--
| Other Authors: | Armstrong, Helen, 1971-, Dixon, Keetra Dean, |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hudson, New York :
Princeton Architectural Press,
[2021]
|
| Physical Description: |
176 pages : illustrations (chiefly color) ; 22 cm. |
| Edition: | First edition. |
| Subjects: |
Table of Contents:
- Peek inside the black box ;
- Interview /
- John Zimmerman ;
- Interview /
- Joanna Peña-Bickley ;
- Interview /
- Rebecca Fiebrink ;
- Interview/
- Alex Fefegha ;
- Animistic design /
- Philip van Allen ;
- Machines have eyes /
- Anastasiia Raina ; Lia Coleman ; Meredith Binnette ; Yimei Hu ; Danlei Huang ; Zack Davey ; Qihang Li
- Seize the data ;
- Interview /
- Silka Sietsma ;
- Interview /
- Pattie Maes ;
- Interview /
- Patrick Hebron
- Interview /
- Stephanie Yee ; Tony Chu ;
- Thinking design + conversation /
- Paul Pangaro ;
- More than human-centered design /
- Anab Jain
- Predict the way ;
- Interview /
- Rumman Chowdhury ;
- Interview /
- David Carroll ;
- Interview /
- Caroline Sinders
- Interview /
- Sarah Gold ;
- What is missing is still there /
- Mimi Onuoha ;
- Anatomy of an AI system /
- Kate Crawford and Vladan Joler
- Who's afraid of machine learning? ;
- The future: Exciting but fraught: conclusion.