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          <dc:title>The Last Gate: Keeping AI from Controlling Both Decisions and Execution</dc:title>
          <dc:creator>Darren Tindale (24483887)</dc:creator>
          <dc:subject>Artificial intelligence not elsewhere classified</dc:subject>
          <dc:subject>Human-computer interaction</dc:subject>
          <dc:subject>Economic theory not elsewhere classified</dc:subject>
          <dc:subject>AI governance audit</dc:subject>
          <dc:subject>Artificial intelligence  (AI)</dc:subject>
          <dc:subject>AI Safety &amp; Governance</dc:subject>
          <dc:subject>AI safety systems</dc:subject>
          <dc:subject>AI Safety Design</dc:subject>
          <dc:subject>AI SAFETY</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;&lt;b&gt;AI Governance Deep Dives explores how advanced AI systems can be governed while they reason, act, and make consequential decisions. Episodes examine runtime governance, Reference and Higher-fidelity pathways, separation of duties, execution gates, software and hardware enforcement, cost-aware computation, and defense in depth. The series focuses on a central question: how can increasingly capable AI remain useful without controlling both the decision process and the final mechanism that executes consequential actions?&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;AI Disclosure:&lt;/b&gt; Episodes are AI-generated two-host discussions created with Google NotebookLM from source materials selected by the publisher. Voices and dialogue are AI-generated and do not represent real people. AI-generated summaries or interpretations may contain errors; consult underlying sources where appropriate.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-23T19:50:48Z</dc:date>
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