Minimizing Bias in Computer Systems

Monday, May 8

This workshop builds on the organizers' previous work (presented at INTERCHI '93), which provides a framework for understanding bias in computer systems. As an example of such bias, consider how the interface design of computerized voting systems can contribute to discrimination against some groups. Under-educated groups are more likely than educated groups to misunderstand how to cast a vote properly with a computerized system. Thus, under- educated individuals may more frequently invalidate their own votes either by not voting for a position or by voting for morethan one person per position.

In the workshop, we draw on the organizers' framework, participants' research, and participants' design experiences to (a) identify where and how common biases arise in computer systems, (b) develop methods to minimize such bias, and (c) gain hands-on experience with minimizing bias in a design.

Participants with diverse backgrounds and design experiences are desired, including (but not limited to) researchers, practitioners, designers, and educators. Interested individuals should send a brief letter describing their interest in the topic and their background. A small amount of preparation prior to the workshop will be required.

This one-day workshop is limited to 15 participants.

Contact:

Batya Friedman
Clare Boothe Luce Assistant Professor 
of Computer Science 
Department of Mathematics and Computer Science 
Colby College
Waterville, ME 04901 USA
E-mail: b_friedm@colby.edu
Tel: +1 207 872 3572
Fax: +1 207 872 3555