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	<title>responsible AI governance &#8211; BIOENGINEER.ORG</title>
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		<title>Turning AI ethics principles into checkable clinical controls</title>
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		<pubDate>Tue, 27 Oct 2026 14:20:41 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[clinical AI]]></category>
		<category><![CDATA[clinical workflow]]></category>
		<category><![CDATA[dialysis]]></category>
		<category><![CDATA[Digital Health]]></category>
		<category><![CDATA[electronic health records]]></category>
		<category><![CDATA[explainability]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[healthcare policy]]></category>
		<category><![CDATA[human-AI interaction]]></category>
		<category><![CDATA[predictive AI]]></category>
		<category><![CDATA[responsible AI governance]]></category>
		<category><![CDATA[Risk Management]]></category>
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					<description><![CDATA[A new Perspective proposes organizing responsible clinical AI governance into three functional domains, Capability, Explainability, and Communication, to translate broad ethical principles into concrete, auditable controls for both predictive and generative AI systems.]]></description>
		
		
		
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