Reference
Benjamin, Ruha. Introduction: Discriminatory Design, Liberating Imagination, in Captivating Technology: Race, Carceral Technoscience, and Liberatory Imagination in Everyday Life, edited by Ruha Benjamin, Duke University Press, 2019
Chun, Wendy Hui Kyong (2021). Discriminating Data : Correlation, Neighborhoods, and the New Politics of Recognition. Cambridge, Massachusetts: The MIT Press.
Wittkower, D. E. (2018). Technology and Discrimination. In J. C. Pitt & A. Shew (Eds.), Spaces for the Future: A Companion to Philosophy and Technology (pp. 37-64). New York: Routledge.
Favaretto, M., De Clercq, E. & Elger, B.S. Big Data and discrimination: perils, promises and solutions. A systematic review. J Big Data 6, 12 (2019).
Cantamessa, Marco, et al. "Data-driven design: the new challenges of digitalization on product design and development." Design Science 6 (2020): e27.
Winner, Langdon. "Do artifacts have politics?." Computer ethics. Routledge, 2017. 177-192.
Morozov, Evgeny. "The planning machine. Project Cybersyn and the origins of the big data nation." The New Yorker 13 (2014).
Design Equitable Technology: Understanding Data Discrimination and Optimizing Design Ethics
(09)
Research
Design Frameworks, UC Berkeley
2024
Data-driven decision-making has become a standard model in design industries. However, the sourcing, processing, and application of data often carry inherent biases related to ability, race, ethnicity, opinions, and identity. This project seeks to explore the intersection of data and design by mapping the data journey onto the “Double Diamond” design framework. The goal is to examine when, where, and how designers can integrating data in a more equitable and inclusive way into the design practices.
Instructors: Hugh Dubberly, Barry Katz
