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		<title>Conceptual review links LLM interactions to knowledge narrowing risk</title>
		<link>https://bioengineer.org/conceptual-review-links-llm-interactions-to-knowledge-narrowing-risk/</link>
		
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		<pubDate>Mon, 26 Oct 2026 21:37:44 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[AI Governance]]></category>
		<category><![CDATA[context windows]]></category>
		<category><![CDATA[decision quality]]></category>
		<category><![CDATA[epistemic scope]]></category>
		<category><![CDATA[human-AI interaction]]></category>
		<category><![CDATA[information omission]]></category>
		<category><![CDATA[Interaction-induced]]></category>
		<category><![CDATA[interaction-induced knowledge narrowing]]></category>
		<category><![CDATA[knowledge]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[Risk Management]]></category>
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					<description><![CDATA[A conceptual review proposes that bounded context, ranked synthesis and iterative interaction can narrow the knowledge considered in LLM-based decision-making without producing a visible error signal.]]></description>
		
		
		
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