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    <title>Logan Ausman on Test Science Research Document Library</title>
    <link>https://research.testscience.org/researchers/logan-ausman/</link>
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    <copyright>Institute for Defense Analyses</copyright>
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      <title>Operational T&amp;E of AI-Supported Data Integration, Fusion, and Analysis Systems</title>
      <link>https://research.testscience.org/post/2024-operational-t-e-of-ai-supported-data-integration-fusion-and-analysis-systems/</link>
      <pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
      <guid>https://research.testscience.org/post/2024-operational-t-e-of-ai-supported-data-integration-fusion-and-analysis-systems/</guid>
      <description>AI will play an important role in future military systems. However, large questions remain about how to test AI systems, especially in operational settings. Here, we discuss an approach for the operational test and evaluation (OT&amp;amp;E) of AI-supported data integration, fusion, and analysis systems. We highlight new challenges posed by AI-supported systems and we discuss new and existing OT&amp;amp;E methods for overcoming them. We demonstrate how to apply these OT&amp;amp;E methods via a notional test concept that focuses on evaluating an AI-supported data integration system in terms of its technical performance (how accurate is the AI output?</description>
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<p>AI will play an important role in future military systems. However, large questions remain about how to test AI systems, especially in operational settings. Here, we discuss an approach for the operational test and evaluation (OT&amp;E) of AI-supported data integration, fusion, and analysis systems. We highlight new challenges posed by AI-supported systems and we discuss new and existing OT&amp;E methods for overcoming them. We demonstrate how to apply these OT&amp;E methods via a notional test concept that focuses on evaluating an AI-supported data integration system in terms of its technical performance (how accurate is the AI output?) and human systems interaction (how does the AI affect users?).</p>
<h4 id="suggested-citation">Suggested Citation</h4>
<blockquote>
<p>Anderson, Breeana G, Adam M Miller, Logan K Ausman, John T Haman, Keyla Pagan-Rivera, Sarah A Shaffer, and Brian D Vickers. Data Integration, Fusion, and Analysis Systems. IDA Product ID 3001848. Alexandria, VA: Institute for Defense Analyses, 2024.</p>
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<h4 id="slides">Slides:</h4>
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