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  <id>urn:uuid:d467bd60-09b6-56f6-8cd4-30764044bed7</id>
  <title>SocioLens — RO-LD05-04: How many AI transcription errors survive social workers&apos; checks into case records?</title>
  <subtitle>New versions of this research opportunity and changes to the claims it rests on.</subtitle>
  <link rel="self" type="application/atom+xml" href="https://sociolens-web.pages.dev/opportunities/ro-ld05-04/feed.xml"/>
  <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld05-04/"/>
  <updated>2026-10-13T00:00:00Z</updated>
  <author><name>SocioLens</name></author>
  <entry>
    <id>urn:uuid:a9301b5c-62b3-5868-99a7-f4366f296149</id>
    <title type="text">Research opportunity revised to v2: RO-LD05-04 — How many AI transcription errors survive social workers&apos; checks into case records?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld05-04/v2/"/>
    <updated>2026-10-13T00:00:00Z</updated>
    <summary type="text">Literature check added: a second, deeper search for existing work, with its queries, new nearest work and limits. The question and verdict stand.</summary>
  </entry>
  <entry>
    <id>urn:uuid:2f6b8457-29bb-5bf8-b513-7d4705e36303</id>
    <title type="text">New research opportunity: RO-LD05-04 — How many AI transcription errors survive social workers&apos; checks into case records?</title>
    <link rel="alternate" type="text/html" href="https://sociolens-web.pages.dev/opportunities/ro-ld05-04/v1/"/>
    <updated>2026-10-12T00:00:00Z</updated>
    <summary type="text">In local authorities using generative-AI transcription and summarisation in social work, what share of final, signed case records contain errors (invented content, omissions, changed meaning) that are absent from the recorded conversation, which kinds survive the practitioner&apos;s check, and what happens when people who draw on care read and try to correct them?</summary>
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