
<!--Ingeniux Dynamic Site Server. Version:10.3.176--><InsetPage ID="x4760" Name="AI and Autonomy Use Cases" IsComponent="false" Changed="20250717T01:38:14" Created="20250521T17:15:20" ViewName="InsetPage" Published="20250730T22:30:35" SURL="/expertise/caia/caia-areas/ai-and-autonomy-use-cases" SiteBaseUrl="" Locale="" XPowerPath="/cna.org/Home/Expertise/CAIA/CAIA Areas/AI and Autonomy Use Cases">
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        <XHTML type="xhtml" UID="3dffc4f778854a4998cd412741531d21" label="XHTML" readonly="false" hidden="false" required="true" indexable="true" Height="" CIID="">&lt;p&gt;&lt;strong&gt;AI and Autonomy Use Cases.&lt;/strong&gt; CNA&amp;rsquo;s technical expertise allows us to translate strategic vision into technological opportunities and measurable business impacts. By understanding operational constraints, assessing data availability, and mitigating risks in implementation, we bridge the gap between the theoretically possible and the practically successful. By identifying the highest-impact use cases that effectively support the user, we ensure that AI adds value&amp;mdash;rather than complexity&amp;mdash;in meeting our clients&amp;rsquo; real-world needs.&lt;/p&gt;
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&lt;p&gt;&lt;a href="https://www.cna.org/quick-looks/2021/AI-Considerations-for-the-Marine-Corps.pdf"&gt;AI Considerations for the Marine Corps&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://cnagovhi.sharepoint.us/sites/AICOP/Working%20Documents/Forms/AllItems.aspx?id=%2Fsites%2FAICOP%2FWorking%20Documents%2FCNA%20AI%20use%20in%20Corrections%20Justice%20BJA%2Epdf&amp;amp;parent=%2Fsites%2FAICOP%2FWorking%20Documents"&gt;AI Use and Implementation in Corrections and Supervision&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.cna.org/reports/2023/04/Artificial-Intelligence-in-Nuclear-Operations.pdf"&gt;Artificial Intelligence in Nuclear Operations&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;u&gt;Emerging Technologies and Civilian Harm Mitigation&lt;/u&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.cna.org/reports/2022/02/Leveraging-AI-to-Mitigate-Civilian-Harm.pdf"&gt;Leveraging AI to Mitigate Civilian Harm&lt;/a&gt;&lt;/p&gt;--&gt;</XHTML>
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        <LinkSet Title="" LinkIDS="x290|x2887|x2582|x1476|x1297|x995" Name="Links" label="Links" UID="ce7962a65e7a42e9889d201ef64d398d"><Page ID="x290" URL="quick-looks/2021/ai-considerations-for-the-marine-corps" Schema="Quick-Look" Locale="" Changed="20250805T15:35:44" CategoryIds="" Name="AI Considerations for the Marine Corps" Description="Quick Look summary provides a short overview of AI technology to give Marines Corps decision-makers a high-level understandingof key artificial intelligence and autonomy concepts. 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Based on this analysis, we make the case for a wider framework for the application of human control over the use of force. This report recommends that CCW discussions currently focusing on process considerations, such as human control, should instead focus on outcome—namely, mitigation of inadvertent engagements. This allows consideration of a more complete set of benefits and risks of lethal autonomy and better management of risks. The report also describes best practices that can collectively serve as a safety net for the use of lethal autonomous weapons. It concludes with concrete recommendations for how the international community can more effectively address the risk of inadvertent engagements from lethal autonomy." 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This report explains social media bots and botnets, explores the threat of automation and the role of social media bots as a tool of disinformation, and introduces a taxonomy of six activities that social media bots and botnets can engage in: distributing, amplifying, distorting, hijacking, flooding, and fracturing. It then identifies likely evolutions in the nearto mid-term futures and explores the implications of those futures for SOF. The report examines opportunities and risks for SOF and concludes with examples of potential SOF use in each of the six identified social media bot and botnet activities." 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