APPROXIMATING ALGORITHMS: FROM DISCRIMINATING DATA TO TALKING WITH AN AI
Wendy Hui Kyong Chun's Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition offers important tools to understand and, more importantly, transform the algorithms perpetuating and intensifying discrimination in North American societies. Unpacking her work's implications, this essay offers seven approximations—ranging from eliminating bias to rethinking the symbiotic relations between humans and computational media—as solutions to the problems she identifies. While some approximations reveal limitations in others, the clashes between them are due to the scope of the frameworks they employ. All are useful in the struggle to comprehend, in both small and large terms, the nature of the profound changes in the contemporary condition as computational media penetrate ever more deeply into the fabrics of our lives.
Duke Scholars
Altmetric Attention Stats
Dimensions Citation Stats
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- History
- 5003 Philosophy
- 5002 History and philosophy of specific fields
- 4303 Historical studies
- 2202 History and Philosophy of Specific Fields
- 2103 Historical Studies
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- History
- 5003 Philosophy
- 5002 History and philosophy of specific fields
- 4303 Historical studies
- 2202 History and Philosophy of Specific Fields
- 2103 Historical Studies