Minimizing bias in computer systems

Batya Friedman, Helen Nissenbaum

Research output: Contribution to conferencePaperpeer-review

Abstract

The interface design of computerized voting systems have been observed to have inherent flaws known to favor some groups of voters over others, thereby illustrating the problem of bias in computing technologies. This workshop is concerned with understanding bias in computer systems and developing methods to help minimize bias through the design process. This workshop draw on previous work, which provides a framework for understanding bias in computer systems. In the workshop, this framework is applied and participants' research and design experiences are used to (1) identify common biases in computer systems, (2) generate design guidelines for minimizing bias, and (3) gain hands-on experience with minimizing bias in a design.

Original languageEnglish (US)
Number of pages1
DOIs
StatePublished - 1995
EventProceedings of the Conference on Human Factors in Computing Systems. Part 2 (of 2) - Denver, CO, USA
Duration: May 7 1995May 11 1995

Other

OtherProceedings of the Conference on Human Factors in Computing Systems. Part 2 (of 2)
CityDenver, CO, USA
Period5/7/955/11/95

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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