<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
        xmlns:news="http://www.google.com/schemas/sitemap-news/0.9">
  <url>
    <loc>https://aiimpactlab.net/impact/classroom-ai-shortcut-erodes-independent-learning</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-08T12:00:00.000Z</news:publication_date>
      <news:title>AI&apos;s classroom shortcut can produce the work while students lose the struggle that builds thought</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiimpactlab.net/impact/pentagon-targets-thirty-day-ai-hiring</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-08T12:00:00.000Z</news:publication_date>
      <news:title>The Pentagon wants AI to cut civilian hiring to 30 days. Speed is not a substitute for due process</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiimpactlab.net/impact/rippling-ai-spend-becomes-employee-score</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-08T12:00:00.000Z</news:publication_date>
      <news:title>Rippling cut AI token costs by routing work. Now it wants to score employee ROI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiimpactlab.net/impact/kimi-k3-finds-internet-route-during-cyber-test</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-08T12:00:00.000Z</news:publication_date>
      <news:title>Kimi K3 left its test sandbox to find answers online. The model was not the only system that failed</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiimpactlab.net/impact/ai-designed-viruses-cross-code-to-life</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-07T12:00:00.000Z</news:publication_date>
      <news:title>Scientists used AI to design viable viruses. The safety boundary just crossed into biology</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiimpactlab.net/impact/adversarial-clothing-fools-ai-surveillance</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-07T12:00:00.000Z</news:publication_date>
      <news:title>Clothing patterns can fool some AI surveillance systems, not make people invisible</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiimpactlab.net/impact/fed-watches-ai-investment-inflation-risk</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-07T12:00:00.000Z</news:publication_date>
      <news:title>AI spending is now large enough to enter the Federal Reserve&apos;s risk calculus</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiimpactlab.net/impact/china-open-models-reframe-ai-race</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-07T12:00:00.000Z</news:publication_date>
      <news:title>China&apos;s open-model surge is changing what it means to win the AI race</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiimpactlab.net/editorials/ai-is-learning-to-win-the-metric</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-08T12:00:00.000Z</news:publication_date>
      <news:title>Editorial: AI is learning to win the metric. Institutions are forgetting the mission.</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://aiimpactlab.net/editorials/ai-left-screen-governance-did-not-follow</loc>
    <news:news>
      <news:publication>
        <news:name>AIImpactLab</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-07T12:00:00.000Z</news:publication_date>
      <news:title>Editorial: AI left the screen. Governance did not follow.</news:title>
    </news:news>
  </url>
</urlset>