{
  "id": "AIBD-0235",
  "title": "Metropolitan Police announces exploration of AI to grade and triage child sexual abuse imagery to find unknown victims faster",
  "summary": "On 13 April 2026 the Met said it is exploring AI to grade and triage child sexual abuse imagery, testing with multiple companies, to flag unknown victims faster; no deployment or outcome yet.",
  "date_observed": "2026-04-13",
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  "account": "The Metropolitan Police Service announced that it is exploring the use of artificial intelligence to support rapid grading and triage of child sexual abuse imagery. Material possibly relating to unknown victims could then be flagged for prioritized safeguarding. The force also wants to reduce officers' manual review of distressing material. It said it is in conversations with multiple companies and testing how this could work. It described a separate tool that reviews 641,000 messages in 35 minutes, and a £10 million investment in victim interview suites. It cited more than 5,400 child sexual abuse offenses investigated in the past year and over 1,300 children safeguarded. Deputy Commissioner Matt Jukes said speed matters for safeguarding and that human judgment and oversight would remain central. The OECD AI Incidents Monitor records it as an “AI hazard”, noting the use is under consideration and not implemented.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "Rapidly analyze seized imagery to grade it in categories A to C. Flag content possibly showing previously unknown victims. The aims are to prioritize safeguarding and reduce officer exposure.",
  "system": "Unnamed AI grading and triage tools under evaluation",
  "model_version": null,
  "developer": "Multiple companies, not named",
  "deployer": "Metropolitan Police Service",
  "location": "London, United Kingdom",
  "domain": "Child protection / online child sexual abuse investigation",
  "segment": "Government",
  "benefit_type": "Repetitive Task Automation",
  "taxonomy_note": "Exploration only; the type names the triage bottleneck the Met wants to automate.",
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      "reason": "No victim identified through the tools in the sources."
    }
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  "evidence": [
    {
      "kind": "press release",
      "citation": "Metropolitan Police Service, news release, 13 Apr 2026",
      "title": "Met considers AI to quickly identify child sexual abuse victims",
      "url": "https://news.met.police.uk/news/met-considers-ai-to-quickly-identify-child-sexual-abuse-victims-508131",
      "date": "2026-04-13",
      "written_by": "deployer",
      "quote": "The force is in conversations with multiple companies about the tech and is testing how this could work across the force."
    },
    {
      "kind": "registry label",
      "citation": "OECD AI Incidents Monitor, hazard 2026-04-13-83b8",
      "title": "Metropolitan Police Trials AI to Identify Child Abuse Victims Faster",
      "url": "https://oecd.ai/en/incidents/2026-04-13-83b8",
      "date": "2026-04-13",
      "written_by": "independent",
      "quote": "While AI involvement is clear, the use is still under consideration and not yet implemented, so no harm has materialized."
    }
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  "replication": {
    "produced_by": [
      "Large volumes of seized imagery awaiting manual grading",
      "Vendor classifiers for severity grading and known-versus-unknown victim flagging"
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      "Legal and ethical frameworks for processing the material",
      "Human decision-making retained",
      "Evaluation showing acceptable error rates"
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    "echoes": []
  },
  "paired_incident": null,
  "headline": "AI triage of abuse imagery under test to find victims faster",
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    "against": "manual review of seized material by officers",
    "before": "officers may need to spend hours manually reviewing seized material to establish whether images or videos relate to known cases",
    "after": "could significantly shorten the time between detection and intervention",
    "basis": "assumed",
    "quote": "Traditionally, officers may need to spend hours manually reviewing seized material to establish whether images or videos relate to known cases",
    "url": "https://news.met.police.uk/news/met-considers-ai-to-quickly-identify-child-sexual-abuse-victims-508131"
  },
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    "status": "unknown",
    "date": null,
    "note": "No development after the 13 April 2026 announcement was found in the cited sources.",
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      "date": "2026-10-21",
      "change": "Added what the benefit is measured against from the cited sources.",
      "source": "https://news.met.police.uk/news/met-considers-ai-to-quickly-identify-child-sexual-abuse-victims-508131",
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      "source": "https://en.wikipedia.org/wiki/Metropolitan_Police",
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}