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	<title>Algorithmic bias - Revision history</title>
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	<updated>2026-09-15T06:36:57Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<title>imported&gt;ALT-TEXT: Import: AI terminology and people glossary</title>
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		<updated>2026-09-07T10:36:21Z</updated>

		<summary type="html">&lt;p&gt;Import: AI terminology and people glossary&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Algorithmic bias ==&lt;br /&gt;
Systematic and unfair skew in an AI system&amp;#039;s outputs, typically arising because the [[Training data|training data]] reflects existing social biases, or because of choices made in how a model is designed, evaluated, or deployed. Algorithmic bias has real-world consequences in areas such as hiring, credit scoring, and predictive policing, where flawed systems can reproduce or amplify existing discrimination at scale. (See also: [[Training data]], [[AI alignment]])&lt;br /&gt;
&lt;br /&gt;
[[Category:Glossary]]&lt;br /&gt;
[[Category:Artificial Intelligence]]&lt;br /&gt;
[[Category:AI Ethics]]&lt;br /&gt;
&lt;/div&gt;</summary>
		<author><name>imported&gt;ALT-TEXT</name></author>
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