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	<title>scientific maturity &#8211; BIOENGINEER.ORG</title>
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		<title>Beyond model opacity: AI discoveries need scientific maturity, researchers argue</title>
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		<pubDate>Sun, 25 Oct 2026 11:12:10 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI-driven discovery]]></category>
		<category><![CDATA[AlphaFold]]></category>
		<category><![CDATA[communal accountability]]></category>
		<category><![CDATA[domain anchoring]]></category>
		<category><![CDATA[epistemic integration]]></category>
		<category><![CDATA[explanation crisis]]></category>
		<category><![CDATA[FunSearch]]></category>
		<category><![CDATA[GNoME]]></category>
		<category><![CDATA[materials discovery]]></category>
		<category><![CDATA[model opacity]]></category>
		<category><![CDATA[philosophy of science]]></category>
		<category><![CDATA[scientific maturity]]></category>
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					<description><![CDATA[A new analysis argues that AI-generated scientific results require graded scientific maturity across domain anchoring, representational integration, failure articulation and communal accountability, rather than model transparency alone.]]></description>
		
		
		
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