AI-Powered Deanonymization

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  "numericId": null,
  "path": "/knowledge-base/risks/deanonymization/",
  "filePath": "knowledge-base/risks/deanonymization.mdx",
  "title": "AI-Powered Deanonymization",
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  "lastUpdated": "2026-03-13",
  "dateCreated": "2026-02-15",
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  "description": "AI dramatically lowers the cost and skill required to identify individuals from supposedly anonymous data. A 2023 ETH Zurich study showed GPT-4 inferred personal attributes from Reddit posts with 85% accuracy at \\$0.15 per profile. Research demonstrates 99.98% of Americans are re-identifiable from 15 demographic attributes (Rocher et al., 2019), and 4 spatiotemporal data points identify 95% of individuals in mobility datasets (de Montjoye et al., 2013). AI transforms deanonymization from a specialist skill into a commodity capability.",
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    "ai-safety",
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    "cyber"
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    "level": "medium",
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  "entityType": "risk",
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        "id": "ai-powered-investigation",
        "title": "AI-Powered Investigation",
        "path": "/knowledge-base/capabilities/ai-powered-investigation/",
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      },
      {
        "id": "ai-investigation-risks",
        "title": "AI-Powered Investigation Risks",
        "path": "/knowledge-base/risks/ai-investigation-risks/",
        "similarity": 16
      },
      {
        "id": "surveillance",
        "title": "Mass Surveillance",
        "path": "/knowledge-base/risks/surveillance/",
        "similarity": 15
      },
      {
        "id": "ai-accountability",
        "title": "AI for Accountability and Anti-Corruption",
        "path": "/knowledge-base/responses/ai-accountability/",
        "similarity": 13
      },
      {
        "id": "consensus-manufacturing",
        "title": "AI-Powered Consensus Manufacturing",
        "path": "/knowledge-base/risks/consensus-manufacturing/",
        "similarity": 13
      }
    ]
  },
  "changeHistory": [
    {
      "date": "2026-02-16",
      "branch": "claude/review-pr-followup-sv4RY",
      "title": "PR follow-up review and fixes",
      "summary": "Reviewed last 5 days of PRs (Feb 11-16) for remaining work. Fixed three issues: corrected quality metrics on ea-shareholder-diversification-anthropic (was 3/100, now 60/100), added cross-reference notes between four overlapping AI investigation pages (ai-investigation-risks, ai-powered-investigation, deanonymization, ai-accountability), and updated Anthropic Investors TODOs with research findings on matching program and Tallinn holdings plus refreshed secondary market prices to Feb 2026.",
      "pr": 169
    },
    {
      "date": "2026-02-15",
      "branch": "claude/ai-investigation-coverage-hJ6Nf",
      "title": "AI investigation coverage pages",
      "summary": "Created three new wiki pages covering AI-powered investigation/OSINT, AI deanonymization risks, and AI for accountability/anti-corruption. Added corresponding entity definitions (E698, E699, E700) with cross-links. Fixed crux pipeline's Claude Code subprocess spawning to unset CLAUDECODE env var.",
      "pr": 153
    }
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No external links