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          <identifier identifierType="DOI">10.5522/04/31801570.v1</identifier>
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              <creatorName>Swaroop, Siddharth</creatorName>
              <givenName>Siddharth</givenName>
              <familyName>Swaroop</familyName>
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            <creator>
              <creatorName>Pi, Elise</creatorName>
              <givenName>Elise</givenName>
              <familyName>Pi</familyName>
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          <titles>
            <title><![CDATA[Background Briefing: Machine Unlearning]]></title>
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          <subjects>
            <subject>Machine learning not elsewhere classified</subject>
            <subject>Artificial intelligence not elsewhere classified</subject>
            <subject>Machine unlearning</subject>
            <subject>Machine learning</subject>
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            <date dateType="Created">2026-03-19</date>
            <date dateType="Updated">2026-03-19</date>
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          <publisher>University College London</publisher>
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            <description descriptionType="Abstract"><![CDATA[<p dir="ltr">This background briefing note provides an overview of machine unlearning research and its relevance to public policy. It outlines the two main branches of 'exact unlearning' and 'approximate unlearning', discussing their respective applications and drawbacks. The briefing also highlights upcoming machine unlearning research at UCL Computer Science and opportunities for future collaboration with policy stakeholders.</p>]]></description>
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