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Title: Algorithm Bia: Detection and Perspectives of Undergraduate Students
There have already been numerous reported computer algorithm biases that systematically discriminate against certain content, individuals, or groups and that have had serious impacts on society. This session examines an information literacy component focused on algorithm bias in the presenter’s undergraduate-level course on data management. The course meets the university’s requirements for the certificate “Applications in Data Science”. The detected cases, and perspectives of undergraduate students in regard to privacy, fairness, and ethics are shared and discussed.  more » « less
Award ID(s):
2236241
PAR ID:
10534887
Author(s) / Creator(s):
; ;
Publisher / Repository:
Purdue Institutional Repository ePubs https://docs.lib.purdue.edu/lib_fspres/195
Date Published:
Format(s):
Medium: X
Institution:
Purdue University
Sponsoring Org:
National Science Foundation
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