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Ugly Truths: Clarifying the Distinction Between Bias and Fairness

Authors: Poe, Robert;

Ugly Truths: Clarifying the Distinction Between Bias and Fairness

Abstract

The term 'bias' in computer science and HCI scholarship has become confused. Using the is/ought distinction, this poster attempts to clarify 'bias' as deviations from truth from 'bias as deviations from fairness. The poster also briefly discusses possible implications of confusing the term and danger of being inconsistent or searching for tech solutionism.

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Keywords

Fair ML, AI, Bias

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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