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    <description>News and research on AI fairness, digital trust and self-sovereign identity from validant.ai.</description>
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    <lastBuildDate>Fri, 05 Jun 2026 00:00:00 GMT</lastBuildDate>
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      <title>Digital Trust Is an Orbit, Not a Pillar</title>
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      <pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate>
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      <dc:creator>Daniel Glinz</dc:creator>
      <description>Trust is not one more pillar to stack. It is the orbit three bodies trace together: the model, the person and the organisation. Why the three-body problem is the honest metaphor for trustworthy AI, and how to tell where you are in the orbit.</description>
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      <title>Two Views of One Decision: Trustworthy and Explainable AI in Practice at HSLU</title>
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      <pubDate>Sat, 30 May 2026 00:00:00 GMT</pubDate>
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      <dc:creator>Daniel Glinz</dc:creator>
      <description>Notes from a Lucerne specialists course on Trustworthy and Explainable AI, and what it confirms about the Validant.ai approach.</description>
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      <title>The Wrong Question, Asked at Scale</title>
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      <pubDate>Wed, 27 May 2026 00:00:00 GMT</pubDate>
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      <dc:creator>Daniel Glinz</dc:creator>
      <description>A landmark study of 4 million job applications shows how AI hiring tools hide their bias, why one rejection can become rejection everywhere, and why independent, position-level assessment is no longer optional.</description>
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      <title>No System Has Ever Been Fair</title>
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      <pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate>
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      <dc:creator>Daniel Glinz</dc:creator>
      <description>What four breakout sessions, one fairness tool demo, and 50+ years of collective experience taught us about fairness in AI, at the Trustworthy AI Circle.</description>
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      <title>Two new demo videos: see Pulse run an audit, and the Modules behind every verdict</title>
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      <pubDate>Fri, 22 May 2026 00:00:00 GMT</pubDate>
      <category>Updates</category>
      <dc:creator>The validant.ai team</dc:creator>
      <description>We recorded the platform in motion — a full fairness audit start to finish, and the depth behind every result.</description>
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      <title>Bias is the Foundation</title>
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      <pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate>
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      <dc:creator>Daniel Glinz</dc:creator>
      <description>Why every fairness claim begins with a bias diagnosis, and why skipping it breaks everything downstream.</description>
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      <title>Inside Trust Signal: the weekly newsletter our AI team writes itself</title>
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      <pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate>
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      <dc:creator>The validant.ai team</dc:creator>
      <description>Every Tuesday, an eight-agent AI team scouts, scores and drafts the week in AI trust and fairness. Here's how it works — and how to get it.</description>
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