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Bias in computer systems
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Source ACM Transactions on Information Systems (TOIS) archive
Volume 14 ,  Issue 3  (July 1996) table of contents
Pages: 330 - 347  
Year of Publication: 1996
ISSN:1046-8188
Authors
Batya Friedman  Colby College, Waterville, ME
Helen Nissenbaum  Princeton Univ., Princeton, NJ
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 14,   Downloads (12 Months): 111,   Citation Count: 22
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ABSTRACT

From an analysis of actual cases, three categories of bias in computer systems have been developed: preexisting, technical, and emergent. Preexisting bias has its roots in social institutions, practices, and attitudes. Technical bias arises from technical constraints of considerations. Emergent bias arises in a context of use. Although others have pointed to bias inparticular computer systems and have noted the general problem, we know of no comparable work that examines this phenomenon comprehensively and which offers a framework for understanding and remedying it. We conclude by suggesting that freedom from bias should by counted amoung the select set of criteria—including reliability, accuracy, and efficiency—according to which the quality of systems in use in society should be judged.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  22


REVIEW

"Darin Chardin Savage : Reviewer"

Friedman and Nissenbaum present a fascinating overview of bias within computer systems. The variety of systems surveyed—banking, commerce, computer science, education, medicine, and law—allows for both a broad-ranging and poignant   more...

Collaborative Colleagues:
Batya Friedman: colleagues
Helen Nissenbaum: colleagues