{
  "id": "AIBD-0082",
  "title": "CGU, supported by ALICE, cuts R$2.38 million from a 2021 Hospital Federal de Ipanema glove tender and R$5.95 million from an undated INCA glove tender",
  "summary": "With ALICE support, CGU cut R$2.38m from a 2021 Ipanema hospital glove tender and R$5.95m from an INCA tender; R$8.33m avoided",
  "date_observed": "2021-07-21",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "A CGU statement of 4 October 2023 describes five preventive audits of tenders by federal hospitals and institutes in Rio de Janeiro. The automated tool ALICE supported them. The CGU says this prevented at least R$8.33 million of overpriced purchases. At the Instituto Nacional de Câncer (INCA), a glove auction estimated at R$11 million was re-estimated at R$5.1 million after ALICE indicated prices above market. That avoided about R$5.95 million. At the Hospital Federal de Ipanema, Pregão 15/2021 for gloves (estimated R$34 million) had reused the price survey of Pregão 05/2021. On CGU's recommendation it was suspended and re-estimated, cutting R$2,381,663.00. The auction held on 21 July 2021 bought every item at or below the new estimates, totaling R$14,315,793.42.",
  "category": "harm prevented",
  "unexpected": false,
  "purpose": "Preventive audit of federal procurement notices using automated risk alerts to stop overpriced purchases before award",
  "system": "ALICE (Analisador de Licitações, Contratos e Editais), CGU automated audit-trail and AI alert tool",
  "model_version": null,
  "developer": "Controladoria-Geral da União (CGU), in-house (launched 2015 per the release)",
  "deployer": "Controladoria-Geral da União (CGU)",
  "location": "Rio de Janeiro, Brazil",
  "domain": "Public administration: government audit and procurement control",
  "segment": "Federal internal control of health-sector purchasing",
  "benefit_type": "Reduced Risk",
  "taxonomy_note": null,
  "registry_ids": {},
  "ratings": [
    {
      "group": "personal",
      "depth": null,
      "reason": "No identifiable individual beneficiary; patients benefit only indirectly through preserved hospital budgets."
    },
    {
      "group": "organizational",
      "depth": 2,
      "reason": "Material to the hospitals and the federal budget: R$2,381,663.00 cut from one auction and about R$5.95 million from another. R$8.33 million avoided across the five audits per the CGU."
    },
    {
      "group": "societal",
      "depth": 1,
      "reason": "Small at national scale relative to federal purchasing of about R$119 billion a year."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "The CGU states the audits were done “com apoio da ferramenta automatizada ALICE”. At INCA, it says, the overpricing risk was identified “com a ajuda do ALICE”. For the Ipanema tender, suspension followed a CGU recommendation after analysis of the price survey. ALICE's documented role is alerting and supporting the audit; auditors and managers decided. Developer and deployer are the same public body. The CGU page is on record as an archived copy, because the live page was restricted during Brazil's 2026 electoral period."
  },
  "evidence": [
    {
      "kind": "press release",
      "citation": "Controladoria-Geral da União (2023). CGU atua em editais de licitação em hospitais federais no Rio de Janeiro e evita desperdício de cerca de R$ 8,33 mi. gov.br/cgu, 4 Oct 2023.",
      "title": "CGU atua em editais de licitação em hospitais federais no Rio de Janeiro e evita desperdício de cerca de R$ 8,33 mi",
      "url": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi",
      "date": "2023-10-04",
      "written_by": "makers",
      "quote": "por recomendação da CGU, o certame foi suspenso e uma nova estimativa de preços foi realizada. A nova análise reduziu o valor total do pregão em R$ 2.381.663,00."
    },
    {
      "kind": "press release",
      "citation": "Controladoria-Geral da União (2023). Same release, 'ALICE' section with 2023 aggregates.",
      "title": "CGU atua em editais de licitação em hospitais federais (ALICE section)",
      "url": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi",
      "date": "2023-10-04",
      "written_by": "makers",
      "quote": "a partir de 16.743 compras analisadas no âmbito nacional, o ALICE emitiu alertas que resultaram na suspensão de 59 compras no valor aproximado de R$ 3.1 bilhões"
    },
    {
      "kind": "report",
      "citation": "Oliveira, T. C., Rocha, A. L. M. & Rezende, M. S. (2022). Alice: Desafios, resultados e perspectivas da ferramenta de auditoria contínua de compras públicas governamentais com uso de inteligência artificial. Revista da CGU 14(26), jul-dez/2022, published 20 Dec 2022; a practitioner report (relato) in the CGU's own journal.",
      "title": "Alice: Desafios, resultados e perspectivas da ferramenta de auditoria contínua",
      "url": "https://revista.cgu.gov.br/Revista_da_CGU/article/view/530",
      "date": "2022-12-20",
      "written_by": "makers",
      "quote": "Já são mais de R$ 9,7 bilhões em compras suspensas a partir de suas indicações, apenas pela CGU"
    },
    {
      "kind": "press release",
      "citation": "Controladoria-Geral da União (2024). Órgãos federais economizaram, em 2024, 257 milhões de reais com apoio do Robô ALICE, da Controladoria-Geral da União. gov.br/cgu, 30 Dec 2024.",
      "title": "Órgãos federais economizaram, em 2024, 257 milhões de reais com apoio do Robô ALICE",
      "url": "https://web.archive.org/web/20260207114437id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/orgaos-federais-economizaram-em-2024-257-milhoes-de-reais-com-apoio-do-robo-alice-da-controladoria-geral-da-uniao",
      "date": "2024-12-30",
      "written_by": "makers",
      "quote": null
    }
  ],
  "replication": {
    "produced_by": [
      "ALICE alerts on price surveys inconsistent with prices practiced in comparable purchases in the same region",
      "CGU preventive audits completed before the auction, with recommendations to re-estimate prices",
      "Hospital managers suspending and re-running the price estimate"
    ],
    "must_hold": [
      "Tender notices published on the federal purchasing portal where ALICE reads them daily",
      "Time between publication and auction sufficient for audit and correction",
      "Availability of market price references"
    ],
    "echoes": [
      {
        "date": "2025-01-14",
        "setting": "Three 2024 Rio federal hospital tenders suspended, revoked or re-estimated after ALICE alerts (CGU, 14 January 2025)",
        "model_version": null,
        "outcome": "recurred",
        "source": "https://web.archive.org/web/20250114172015id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/atuacao-do-robo-alice-segue-auxiliando-auditores-a-realizar-trabalhos-preventivos-que-ajudam-a-evitar-desperdicios-e-irregularidades/"
      },
      {
        "date": "2024-12-30",
        "setting": "2024 aggregate: 206 preventive audits opened, R$257.25 million saved (CGU, 30 December 2024)",
        "model_version": null,
        "outcome": "recurred",
        "source": "https://web.archive.org/web/20260207114437id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/orgaos-federais-economizaram-em-2024-257-milhoes-de-reais-com-apoio-do-robo-alice-da-controladoria-geral-da-uniao"
      }
    ]
  },
  "paired_incident": {
    "database": "AI Incident Database",
    "identifier": "101",
    "title": "Dutch Families Wrongfully Accused of Tax Fraud Due to Discriminatory Algorithm",
    "url": "https://incidentdatabase.ai/cite/101",
    "severity": null,
    "group": "organizational",
    "basis": "Dutch Tax Authority's fraud-risk algorithm, a government audit-targeting tool like ALICE, wrongly accused thousands of families of fraud and damaged the authority itself."
  },
  "headline": "CGU, with ALICE support, avoids R$8.33m in overpriced purchases",
  "metric": "prevented at least R$8.33 million of overpriced purchases",
  "comparator": {
    "against": "the original estimated value of Pregão 15/2021, which reused the price survey of Pregão 05/2021",
    "before": "valor estimado de R$ 34 mi",
    "after": "reduziu o valor total do pregão em R$ 2.381.663,00; all items bought for R$ 14.315.793,42 on 21 July 2021",
    "basis": "measured",
    "quote": "Observou-se, no entanto, que foi utilizada a mesma pesquisa de preço do pregão de n. º 05/2021 e por recomendação da CGU, o certame foi suspenso e uma nova estimativa de preços foi realizada. A nova análise reduziu o valor total do pregão em R$ 2.381.663,00. Em 21 de julho de 2021, o pregão foi realizado e todos os itens foram adquiridos por valores unitários iguais ou inferiores aos estimados pela unidade, totalizando o montante de R$ 14.315.793,42.",
    "url": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi"
  },
  "later": {
    "status": "scaled",
    "date": "2024-12-30",
    "note": "By the end of 2024 the CGU reported 126 bodies registered to receive ALICE alerts, including 94 state, district and municipal units, and R$257.25 million saved in concluded 2024 audits.",
    "quote": "Em 2024, 126 entes foram cadastrados para recebimento de alertas do robô ALICE, sendo 32 órgãos federais, 33 unidades da esfera estadual e distrital e 61 unidades da esfera municipal. Para os próximos anos, A Controladoria-Geral da União tem a perspectiva de ampliar o uso do robô ALICE para mais gestores federais, estaduais e municipais.",
    "url": "https://web.archive.org/web/20260207114437id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/orgaos-federais-economizaram-em-2024-257-milhoes-de-reais-com-apoio-do-robo-alice-da-controladoria-geral-da-uniao"
  },
  "value": {
    "amount": "R$ 8,33 milhões",
    "what": "overpriced hospital purchases avoided across five preventive audits",
    "who": "the federal government (hospitals and institutes in Rio de Janeiro)",
    "estimate": false,
    "quote": "A Controladoria-Geral da União (CGU) realizou, preventivamente, cinco auditorias em editais de contratações de hospitais federais e institutos sediados no Rio de Janeiro/RJ. A ação evitou que, pelo menos, R$ 8,33 milhões fossem desperdiçados em aquisições de insumos e serviços hospitalares com sobrepreço.",
    "url": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi"
  },
  "developer_country": "Brazil",
  "deployer_country": "Brazil",
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-20",
      "change": "Paired with AI Incident Database incident 101 (medium confidence); severity not given by the source.",
      "source": "https://incidentdatabase.ai/cite/101",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-20",
      "change": "Attached the 2021 date only to the Ipanema Pregão 15/2021 in the title because the CGU release gives no date or tender number for the INCA glove auction; dated the Revista da CGU article 20 December 2022 and re-described it as a practitioner report (relato) in the CGU's own journal; moved the record to “harm prevented” because the CGU documents overpriced purchases under way that its ALICE-supported audits stopped before award; and set the benefit type to Trustible's “Reduced Risk” from the published framework (entry quoted in the taxonomy note; data/taxonomy.json must carry it) so that the type names the benefit instead of a closest fit.",
      "source": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-20",
      "change": "Benefit type kept within Trustible's six types (Improved Organizational Efficiency); the sweep's proposed “Reduced Risk” is not in the taxonomy.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Added what the benefit is measured against, what happened since, the value as stated from the cited sources.",
      "source": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi; https://web.archive.org/web/20260207114437id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/orgaos-federais-economizaram-em-2024-257-milhoes-de-reais-com-apoio-do-robo-alice-da-controladoria-geral-da-uniao; https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Reduced Risk under Trustible's full taxonomy of 23 types; it was Improved Organizational Efficiency among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the developer and the deployer added from the organization's own site or a registry.",
      "source": "https://pt.wikipedia.org/wiki/Controladoria-Geral_da_Uni%C3%A3o; https://pt.wikipedia.org/wiki/Controladoria-Geral_da_Uni%C3%A3o",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
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    {
      "date": "2026-10-21",
      "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    }
  ],
  "confidence": "claimed",
  "shade": "low",
  "claim_status": "The makers' claim",
  "claim_basis": "Sources: the makers' report and two press releases from the makers. The cited evidence includes no independent source and no finding by a regulator or court.",
  "profile": {
    "case_id": "AIBD-0082",
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          "text": "An existing source-stated monetary observation is present in the original value object."
        },
        "provenance": {
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    "fields": {
      "actors[]": {
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          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
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        "review_state": "record_mapped",
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      "actors[].ownership_control": {
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          "fields": {
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              "statement": "The CGU states the audits were done “com apoio da ferramenta automatizada ALICE”. At INCA, it says, the overpricing risk was identified “com a ajuda do ALICE”. For the Ipanema tender, suspension followed a CGU recommendation after analysis of the price survey. ALICE's documented role is alerting and supporting the audit; auditors and managers decided. Developer and deployer are the same public body. The CGU page is on record as an archived copy, because the live page was restricted during Brazil's 2026 electoral period."
            }
          }
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      "ai_relationship": {
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            "category": "harm prevented",
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              "status": "assessed",
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            }
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        },
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          "source_refs": []
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        "review_state": "record_mapped",
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      "assessments[].alternatives": {
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      "assessments[].assessor_date": {
        "state": "not_assessed",
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        "coverage": "partial"
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      "assessments[].depth": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "reason": "No identifiable individual beneficiary; patients benefit only indirectly through preserved hospital budgets."
              },
              {
                "group": "organizational",
                "depth": 2,
                "reason": "Material to the hospitals and the federal budget: R$2,381,663.00 cut from one auction and about R$5.95 million from another. R$8.33 million avoided across the five audits per the CGU."
              },
              {
                "group": "societal",
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                "reason": "Small at national scale relative to federal purchasing of about R$119 billion a year."
              }
            ]
          }
        },
        "provenance": {
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          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
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        "review_state": "record_mapped",
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      "assessments[].display_confidence": {
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            "interpretation": "Existing display rule preserved; the richer outcome-specific confidence question still needs review."
          }
        },
        "provenance": {
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        "review_state": "record_mapped",
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      "assessments[].rationale": {
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          "kind": "record_fields",
          "fields": {
            "ratings": [
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                "group": "personal",
                "reason": "No identifiable individual beneficiary; patients benefit only indirectly through preserved hospital budgets."
              },
              {
                "group": "organizational",
                "depth": 2,
                "reason": "Material to the hospitals and the federal budget: R$2,381,663.00 cut from one auction and about R$5.95 million from another. R$8.33 million avoided across the five audits per the CGU."
              },
              {
                "group": "societal",
                "depth": 1,
                "reason": "Small at national scale relative to federal purchasing of about R$119 billion a year."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
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        },
        "review_state": "record_mapped",
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      },
      "assessments[].rubric_version": {
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        "review_state": "not_assessed",
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      "assessments[].status_basis": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "assessments[].target": {
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        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "reason": "No identifiable individual beneficiary; patients benefit only indirectly through preserved hospital budgets."
              },
              {
                "group": "organizational",
                "depth": 2,
                "reason": "Material to the hospitals and the federal budget: R$2,381,663.00 cut from one auction and about R$5.95 million from another. R$8.33 million avoided across the five audits per the CGU."
              },
              {
                "group": "societal",
                "depth": 1,
                "reason": "Small at national scale relative to federal purchasing of about R$119 billion a year."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "availability": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "brief": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "case_kind": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "case_links[]": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "answer": "Dutch Tax Authority's fraud-risk algorithm, a government audit-targeting tool like ALICE, wrongly accused thousands of families of fraud and damaged the authority itself.",
            "links": [
              {
                "database": "AI Incident Database",
                "identifier": "101",
                "title": "Dutch Families Wrongfully Accused of Tax Fraud Due to Discriminatory Algorithm",
                "url": "https://incidentdatabase.ai/cite/101",
                "group": "organizational",
                "basis": "Dutch Tax Authority's fraud-risk algorithm, a government audit-targeting tool like ALICE, wrongly accused thousands of families of fraud and damaged the authority itself.",
                "relation": "comparable_harm"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Existing paired_incident classification; no new source review.",
          "record_fields": [
            "paired_incident"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "claims[].evidence_links": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "claims[].evidence_strength": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "claims[].missingness": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "claims[].proposition": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "cross_border_flows[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "decisions[].action_outcome": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].grounds": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].institution_task": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].success_criterion": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "deployment_stage": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].amount": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "value": {
              "amount": "R$ 8,33 milhões",
              "what": "overpriced hospital purchases avoided across five preventive audits",
              "who": "the federal government (hospitals and institutes in Rio de Janeiro)",
              "estimate": false,
              "quote": "A Controladoria-Geral da União (CGU) realizou, preventivamente, cinco auditorias em editais de contratações de hospitais federais e institutos sediados no Rio de Janeiro/RJ. A ação evitou que, pelo menos, R$ 8,33 milhões fossem desperdiçados em aquisições de insumos e serviços hospitalares com sobrepreço.",
              "url": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi"
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "value"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "economics[].costs[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].counterfactual": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].currency_price_basis": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].gross_net": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].measure_type": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "value": {
              "amount": "R$ 8,33 milhões",
              "what": "overpriced hospital purchases avoided across five preventive audits",
              "who": "the federal government (hospitals and institutes in Rio de Janeiro)",
              "estimate": false,
              "quote": "A Controladoria-Geral da União (CGU) realizou, preventivamente, cinco auditorias em editais de contratações de hospitais federais e institutos sediados no Rio de Janeiro/RJ. A ação evitou que, pelo menos, R$ 8,33 milhões fossem desperdiçados em aquisições de insumos e serviços hospitalares com sobrepreço.",
              "url": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi"
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "value"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "economics[].period_unit": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].realization": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].recipient_payer": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "value": {
              "amount": "R$ 8,33 milhões",
              "what": "overpriced hospital purchases avoided across five preventive audits",
              "who": "the federal government (hospitals and institutes in Rio de Janeiro)",
              "estimate": false,
              "quote": "A Controladoria-Geral da União (CGU) realizou, preventivamente, cinco auditorias em editais de contratações de hospitais federais e institutos sediados no Rio de Janeiro/RJ. A ação evitou que, pelo menos, R$ 8,33 milhões fossem desperdiçados em aquisições de insumos e serviços hospitalares com sobrepreço.",
              "url": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi"
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "value"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "economics[].return_payback": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].valuation_method": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "evaluations[].ai_uplift": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].comparator": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].design": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].effect": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].exposure": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].id": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].measurement_method": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].metric": {
        "state": "not_assessed",
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "metric"
          ],
          "source_refs": []
        },
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations",
        "display": {
          "answer": "prevented at least R$8.33 million of overpriced purchases",
          "editor_note": ""
        }
      },
      "evaluations[].reproduction_materials": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].setting_sample": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].uncertainty_limitations": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "external_references[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "paired_incident": {
              "database": "AI Incident Database",
              "identifier": "101",
              "title": "Dutch Families Wrongfully Accused of Tax Fraud Due to Discriminatory Algorithm",
              "url": "https://incidentdatabase.ai/cite/101",
              "group": "organizational",
              "basis": "Dutch Tax Authority's fraud-risk algorithm, a government audit-targeting tool like ALICE, wrongly accused thousands of families of fraud and damaged the authority itself."
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "paired_incident"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "follow_up[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "later": {
              "status": "scaled",
              "date": "2024-12-30",
              "note": "By the end of 2024 the CGU reported 126 bodies registered to receive ALICE alerts, including 94 state, district and municipal units, and R$257.25 million saved in concluded 2024 audits.",
              "quote": "Em 2024, 126 entes foram cadastrados para recebimento de alertas do robô ALICE, sendo 32 órgãos federais, 33 unidades da esfera estadual e distrital e 61 unidades da esfera municipal. Para os próximos anos, A Controladoria-Geral da União tem a perspectiva de ampliar o uso do robô ALICE para mais gestores federais, estaduais e municipais.",
              "url": "https://web.archive.org/web/20260207114437id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/orgaos-federais-economizaram-em-2024-257-milhoes-de-reais-com-apoio-do-robo-alice-da-controladoria-geral-da-uniao"
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "later"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "human_oversight": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "id": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "id": "AIBD-0082"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "id"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "infrastructure_dependencies[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].beneficiaries": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].beneficiary_count": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].benefit_type": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "benefit_type": "Reduced Risk"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "benefit_type"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].claim": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "A CGU statement of 4 October 2023 describes five preventive audits of tenders by federal hospitals and institutes in Rio de Janeiro. The automated tool ALICE supported them. The CGU says this prevented at least R$8.33 million of overpriced purchases. At the Instituto Nacional de Câncer (INCA), a glove auction estimated at R$11 million was re-estimated at R$5.1 million after ALICE indicated prices above market. That avoided about R$5.95 million. At the Hospital Federal de Ipanema, Pregão 15/2021 for gloves (estimated R$34 million) had reused the price survey of Pregão 05/2021. On CGU's recommendation it was suspended and re-estimated, cutting R$2,381,663.00. The auction held on 21 July 2021 bought every item at or below the new estimates, totaling R$14,315,793.42.",
            "benefit_type": "Reduced Risk"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "benefit_type"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].distribution": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].duration": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].id": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].stakeholder_group": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "reason": "No identifiable individual beneficiary; patients benefit only indirectly through preserved hospital budgets."
              },
              {
                "group": "organizational",
                "depth": 2,
                "reason": "Material to the hospitals and the federal budget: R$2,381,663.00 cut from one auction and about R$5.95 million from another. R$8.33 million avoided across the five audits per the CGU."
              },
              {
                "group": "societal",
                "depth": 1,
                "reason": "Small at national scale relative to federal purchasing of about R$119 billion a year."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].status": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].tradeoffs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].unexpected": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "unexpected": false,
            "purpose": "Preventive audit of federal procurement notices using automated risk alerts to stop overpriced purchases before award"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "unexpected",
            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "places[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "location": "Rio de Janeiro, Brazil",
            "developer_country": "Brazil",
            "deployer_country": "Brazil"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "location",
            "developer_country",
            "deployer_country"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "purpose": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "purpose": "Preventive audit of federal procurement notices using automated risk alerts to stop overpriced purchases before award"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "record_dates": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "date_observed": "2021-07-21",
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the cited sources.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-20",
                "change": "Paired with AI Incident Database incident 101 (medium confidence); severity not given by the source.",
                "source": "https://incidentdatabase.ai/cite/101",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-20",
                "change": "Attached the 2021 date only to the Ipanema Pregão 15/2021 in the title because the CGU release gives no date or tender number for the INCA glove auction; dated the Revista da CGU article 20 December 2022 and re-described it as a practitioner report (relato) in the CGU's own journal; moved the record to “harm prevented” because the CGU documents overpriced purchases under way that its ALICE-supported audits stopped before award; and set the benefit type to Trustible's “Reduced Risk” from the published framework (entry quoted in the taxonomy note; data/taxonomy.json must carry it) so that the type names the benefit instead of a closest fit.",
                "source": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-20",
                "change": "Benefit type kept within Trustible's six types (Improved Organizational Efficiency); the sweep's proposed “Reduced Risk” is not in the taxonomy.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Added what the benefit is measured against, what happened since, the value as stated from the cited sources.",
                "source": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi; https://web.archive.org/web/20260207114437id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/orgaos-federais-economizaram-em-2024-257-milhoes-de-reais-com-apoio-do-robo-alice-da-controladoria-geral-da-uniao; https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Reduced Risk under Trustible's full taxonomy of 23 types; it was Improved Organizational Efficiency among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer and the deployer added from the organization's own site or a registry.",
                "source": "https://pt.wikipedia.org/wiki/Controladoria-Geral_da_Uni%C3%A3o; https://pt.wikipedia.org/wiki/Controladoria-Geral_da_Uni%C3%A3o",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.",
                "editor": "AIBD"
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              ],
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                },
                {
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                  "source": "https://web.archive.org/web/20260207114437id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/orgaos-federais-economizaram-em-2024-257-milhoes-de-reais-com-apoio-do-robo-alice-da-controladoria-geral-da-uniao"
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                "title": "CGU atua em editais de licitação em hospitais federais no Rio de Janeiro e evita desperdício de cerca de R$ 8,33 mi",
                "url": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi",
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                "url": "https://web.archive.org/web/20260412063523id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2023/10/cgu-atua-em-editais-de-licitacao-em-hospitais-federais-no-rio-de-janeiro-e-evita-desperdicio-de-cerca-de-r-8-33-mi",
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            "account": "A CGU statement of 4 October 2023 describes five preventive audits of tenders by federal hospitals and institutes in Rio de Janeiro. The automated tool ALICE supported them. The CGU says this prevented at least R$8.33 million of overpriced purchases. At the Instituto Nacional de Câncer (INCA), a glove auction estimated at R$11 million was re-estimated at R$5.1 million after ALICE indicated prices above market. That avoided about R$5.95 million. At the Hospital Federal de Ipanema, Pregão 15/2021 for gloves (estimated R$34 million) had reused the price survey of Pregão 05/2021. On CGU's recommendation it was suspended and re-estimated, cutting R$2,381,663.00. The auction held on 21 July 2021 bought every item at or below the new estimates, totaling R$14,315,793.42.",
            "replication": {
              "produced_by": [
                "ALICE alerts on price surveys inconsistent with prices practiced in comparable purchases in the same region",
                "CGU preventive audits completed before the auction, with recommendations to re-estimate prices",
                "Hospital managers suspending and re-running the price estimate"
              ],
              "must_hold": [
                "Tender notices published on the federal purchasing portal where ALICE reads them daily",
                "Time between publication and auction sufficient for audit and correction",
                "Availability of market price references"
              ],
              "echoes": [
                {
                  "date": "2025-01-14",
                  "setting": "Three 2024 Rio federal hospital tenders suspended, revoked or re-estimated after ALICE alerts (CGU, 14 January 2025)",
                  "outcome": "recurred",
                  "source": "https://web.archive.org/web/20250114172015id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/atuacao-do-robo-alice-segue-auxiliando-auditores-a-realizar-trabalhos-preventivos-que-ajudam-a-evitar-desperdicios-e-irregularidades/"
                },
                {
                  "date": "2024-12-30",
                  "setting": "2024 aggregate: 206 preventive audits opened, R$257.25 million saved (CGU, 30 December 2024)",
                  "outcome": "recurred",
                  "source": "https://web.archive.org/web/20260207114437id_/https://www.gov.br/cgu/pt-br/assuntos/noticias/2024/12/orgaos-federais-economizaram-em-2024-257-milhoes-de-reais-com-apoio-do-robo-alice-da-controladoria-geral-da-uniao"
                }
              ]
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 34,
      "reviewed": 0,
      "record_mapped": 34,
      "not_assessed": 57,
      "complete": false,
      "by_state": {
        "value_present": 34,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 57,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}