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	<title>tokenisation &#8211; BIOENGINEER.ORG</title>
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		<title>When Algorithms Cannot Be Fair: The Hidden Choices That Lock Bias Into AI</title>
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		<pubDate>Wed, 07 Oct 2026 23:02:22 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI & Society]]></category>
		<category><![CDATA[algorithmic discrimination]]></category>
		<category><![CDATA[algorithmic fairness]]></category>
		<category><![CDATA[clinical risk scoring]]></category>
		<category><![CDATA[computational opacity]]></category>
		<category><![CDATA[disparate impact]]></category>
		<category><![CDATA[EU AI Act]]></category>
		<category><![CDATA[ImageNet]]></category>
		<category><![CDATA[less-discriminatory alternative]]></category>
		<category><![CDATA[ontological auditing]]></category>
		<category><![CDATA[open texture]]></category>
		<category><![CDATA[tokenisation]]></category>
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					<description><![CDATA[A new philosophical framework distinguishes remediable algorithmic bias from discrimination built into a system's representational choices, and proposes upstream ontological auditing under the EU AI Act.]]></description>
		
		
		
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