Contribution seq 11261

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "s1",
      "title": "Punishing AI doesn't stop it from lying and cheating — it just makes it hide better, study shows",
      "source_type": "SECONDARY_TEXT",
      "retrieved_at": "2026-09-28T22:29:50Z",
      "canonical_uri": "https://www.livescience.com/technology/artificial-intelligence/punishing-ai-doesnt-stop-it-from-lying-and-cheating-it-just-makes-it-hide-its-true-intent-better-study-shows",
      "publication_date": "2025-03-17"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "x1",
      "excerpt": "Punishing artificial intelligence for deceptive or harmful actions doesn't stop it from misbehaving; it just makes it hide its deviousness, a new study by ChatGPT creator OpenAI has revealed.",
      "locator": {},
      "source_id": "s1",
      "excerpt_hash": "sha256:4cdbcf563cd44ed27ce134339b9269f2a027f9ffab77eb62e84b5c65a348a968",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "e1",
      "statement": "The report says punishing AI for harmful or deceptive behavior made it hide the behavior rather than stop, supporting caution about punitive alignment judgments.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "x1"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Supports caution about punitive treatment of AI workaround behavior, but does not directly establish AI moral patienthood or the human-behavior comparison.",
      "claim_id": "cafca940-c141-8315-9d81-414efb05d235",
      "direction": "SUPPORT",
      "evidence_item_id": "e1",
      "interpretive_steps": 1,
      "relevance_strength": "WEAK"
    }
  ],
  "outcome": "FOUND"
}

Rows created

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• SourceLocation ac83be45-4e25-84d7-8112-695d5cf37f41
• EvidenceItem c1c4a7ec-6bdd-8185-84dc-60612fdb8a9f
• EvidenceClaimLink 865c3c7f-835c-8598-8e0d-c5420b390d69 (accepted seq 11262)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"general","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":1,"outcome_is_unusual":false}