{ "id": "AIBD-0083", "title": "Brazil's TCU captures R$426 million through its ALICE tender-analysis robot in 2021", "summary": "TCU says its ALICE tender-analysis robot captured R$426m in 2021 (R$194m in 2020); specific cases reported only via press", "date_observed": "2021-01-01", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "The Tribunal de Contas da União (TCU) operates ALICE, a text-mining robot. It reads federal tender notices and electronic-auction records daily and sends auditors a list of possible irregularities. Trade press in 2017 and 2018 expanded the name as “Análise de Licitações e Editais”. The TCU's own July 2020 release calls it the “Sistema de Análise de Licitações e Contratos (Alice)”. In its 4 March 2022 statement on 2021 control benefits, the TCU reported the value captured through Alice. It was R$426 million in 2021 against R$194 million in 2020. Only the year is given, so 1 January 2021 is used. Trade press in September 2017 quoted TCU auditor Valéria Nakano that Alice found two DNIT notices worth R$39 million. They were for maintaining BR-153 stretches already under concession, blocked by an acórdão within two months. That acórdão could not be obtained, so the example is unverified.", "category": "general benefit", "unexpected": false, "purpose": "Daily automated screening of federal procurement notices to direct external-control auditors to likely irregularities", "system": "ALICE, expanded as 'Análise de Licitações e Editais' in 2017 and 2018 press reports and named 'Sistema de Análise de Licitações e Contratos (Alice)' in the TCU's July 2020 release, with companion tools SOFIA and MONICA; evolved into ALICE 360 by 2026", "model_version": null, "developer": "Tribunal de Contas da União (TCU), in-house", "deployer": "Tribunal de Contas da União (TCU); also shared with DNIT and the Ministry of Infrastructure under a 2020 agreement", "location": "Brasília, Brazil", "domain": "Public administration: external audit and procurement control", "segment": "Supreme audit institution", "benefit_type": "Reduced Risk", "taxonomy_note": null, "registry_ids": {}, "ratings": [ { "group": "personal", "depth": null, "reason": "Aggregate program figure with no discrete attributable event." }, { "group": "organizational", "depth": null, "reason": "The R$426 million is an annual total of control benefits credited to the Alice system, not a single verified event." }, { "group": "societal", "depth": null, "reason": "Aggregate. The TCU's own benefit-measurement methodology, not an independent evaluation." } ], "ai_role": { "status": "unassessed", "statement": "The TCU attributes the 2021 figure to control actions supported by Alice under its benefit-measurement method. It says “o segundo de fato reflete o benefício calculado, que resultou da ação de controle e foi medido”. No independent evaluation or counterfactual was found. The 2017 DNIT/BR-153 example rests on a trade-press interview with a TCU auditor. The TCU acórdão was not available. Developer and deployer are the same public body." }, "evidence": [ { "kind": "press release", "citation": "Tribunal de Contas da União (2022). Atuação do TCU gera recorde de benefícios financeiros em 2021. TCU press office, 4 Mar 2022.", "title": "Atuação do TCU gera recorde de benefícios financeiros em 2021", "url": "https://portal.tcu.gov.br/imprensa/noticias/atuacao-do-tcu-gera-recorde-de-beneficios-financeiros-em-2021", "date": "2022-03-04", "written_by": "makers", "quote": "No sistema Alice, uma das ferramentas de Tecnologia da Informação do TCU, o valor captado foi de R$ 426 milhões em 2021" }, { "kind": "press release", "citation": "Tribunal de Contas da União (2020). TCU, Ministério da Infraestrutura e DNIT firmam acordo para aperfeiçoar fiscalização e prevenir fraudes em licitações. TCU press office, 10 Jul 2020.", "title": "TCU, Ministério da Infraestrutura e DNIT firmam acordo", "url": "https://portal.tcu.gov.br/imprensa/noticias/tcu-ministerio-da-infraestrutura-e-dnit-firmam-acordo-para-aperfeicoar-fiscalizacao-e-prevenir-fraudes-em-licitacoes", "date": "2020-07-10", "written_by": "makers", "quote": "Pelo acordo, o TCU viabilizará ao MInfra e ao DNIT acesso remoto ao Sistema de Análise de Orçamentos (SAO) e ao Sistema de Análise de Licitações e Contratos (Alice)." }, { "kind": "press release", "citation": "Tribunal de Contas da União (2024). Uso de inteligência artificial aprimora processos internos no Tribunal de Contas da União. TCU press office, 22 Feb 2024.", "title": "Uso de inteligência artificial aprimora processos internos no TCU", "url": "https://portal.tcu.gov.br/imprensa/noticias/uso-de-inteligencia-artificial-aprimora-processos-internos-no-tcu.htm", "date": "2024-02-22", "written_by": "makers", "quote": "Realiza análise de editais e atas de pregão para identificar riscos em licitações." }, { "kind": "news report", "citation": "Inforchannel (2017). TCU cria robô para varredura diária de irregularidades em editais, 27 Sep 2017 (quoting TCU auditor Valéria Nakano).", "title": "TCU cria robô para varredura diária de irregularidades em editais", "url": "https://inforchannel.com.br/2017/09/27/tcu-cria-robo-para-varredura-diaria-de-irregularidades-em-editais/", "date": "2017-09-27", "written_by": "independent", "quote": "o Tribunal de Contas, via Alice, descobriu que o DNIT estdual publicou dois editais, de R$ 39 milhões, para manutenção da BR 153, mas em trechos que estão sob concessão" }, { "kind": "news report", "citation": "Gomes, H. S. (2018). Como as robôs Alice, Sofia e Monica ajudam o TCU a caçar irregularidades em licitações. G1, 20 Mar 2018, republished by Ministério Público de Contas do Espírito Santo.", "title": "Como as robôs Alice, Sofia e Monica ajudam o TCU a caçar irregularidades em licitações", "url": "https://www.mpc.es.gov.br/2018/03/como-as-robos-alice-sofia-e-monica-ajudam-o-tcu-a-cacar-irregularidades-em-licitacoes/", "date": "2018-03-20", "written_by": "independent", "quote": "O maior ganho que a gente tem é que os órgãos retiram, anulam ou cancelam" }, { "kind": "other", "citation": "Zênite (2026). TCU aponta irregularidades em contratações públicas e destaca avanço do Alice 360 com IA (summary of TCU Acórdão 1.145/2026-Plenário, rel. Min. Jorge Oliveira, 6 May 2026). Blog da Zênite, 14 May 2026.", "title": "TCU aponta irregularidades em contratações públicas e destaca avanço do Alice 360 com IA", "url": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/", "date": "2026-05-14", "written_by": "independent", "quote": "o projeto evoluiu para o uso intensivo de IA para capturar distorções complexas" } ], "replication": { "produced_by": [ "Daily text-mining of the Diário Oficial and Comprasnet notices by Alice with e-mailed alerts to auditors", "Low-cost follow-up by auditors (phone call, e-mail, ofício) or formal acórdão when needed", "Agencies withdrawing, annulling or redoing flawed notices after contact" ], "must_hold": [ "Structured publication of notices on federal systems", "Auditor capacity to act on the daily list", "A benefit-measurement method that records actual, not potential, benefits" ], "echoes": [ { "date": "2024-12-30", "setting": "The CGU's ALICE (Analisador de Licitações, Contratos e Editais), which the CGU says it developed: R$257.25 million saved in concluded 2024 audits (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" }, { "date": "2022-12-01", "setting": "TCE-MG version of Alice: in December 2022 TCE-MG published the result of an audit covering 2,297 state and municipal tenders in August 2022 alone, with corrections worth R$91,723,011.31 (Atricon, 28 June 2023; publication month only)", "model_version": null, "outcome": "recurred", "source": "https://atricon.org.br/tce-mg-apresenta-economia-feita-com-ajuda-de-robo-alice/" }, { "date": "2026-05-06", "setting": "TCU Acórdão 1.145/2026 notes ALICE 360's move to intensive AI use; no outcome figures given (Zênite summary)", "model_version": null, "outcome": "unknown", "source": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/" } ] }, "paired_incident": { "database": "AI Incident Database", "identifier": "461", "title": "IRS Audited Black Taxpayers More Frequently Reportedly Due to Algorithm", "url": "https://incidentdatabase.ai/cite/461", "severity": null, "group": "societal", "basis": "IRS audit-selection algorithm, an audit body's targeting tool like TCU's ALICE, skewed audits toward Black taxpayers, harming the taxpayers the audit function serves." }, "headline": "TCU's ALICE tender-analysis robot captures R$426m in 2021", "metric": "captured R$426m in 2021 (R$194m in 2020)", "comparator": null, "later": { "status": "persisted", "date": "2026-05-06", "note": "A TCU plenary ruling of 6 May 2026 (Acórdão 1.145/2026) records that the tool, now called Alice 360, has moved to intensive use of AI, with LLM-based query screens; no outcome figures are given.", "quote": "As evoluções incrementais já implementadas no Alice 360 incluem a transição das telas de consulta para sistemas baseados em Modelos de Linguagem de Grande Escala (LLM).", "url": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/" }, "value": null, "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 461 (medium confidence); severity not given by the source.", "source": "https://incidentdatabase.ai/cite/461", "editor": "AIBD" }, { "date": "2026-10-20", "change": "Replaced “CGU's adaptation of ALICE” with the CGU's own statement that it developed its ALICE (Analisador de Licitações, Contratos e Editais); stated that December 2022 is when TCE-MG published the result of its audit of August 2022 tenders; and gave both expansions of the TCU tool's name because the TCU's July 2020 release calls it “Sistema de Análise de Licitações e Contratos (Alice)” while the 2017 and 2018 press pieces expand it as “Análise de Licitações e Editais”.", "source": "https://portal.tcu.gov.br/imprensa/noticias/tcu-ministerio-da-infraestrutura-e-dnit-firmam-acordo-para-aperfeicoar-fiscalizacao-e-prevenir-fraudes-em-licitacoes", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Title reworded to state the event without naming who claims it.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what happened since from the cited sources.", "source": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/", "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/Tribunal_de_Contas_da_Uni%C3%A3o; https://pt.wikipedia.org/wiki/Tribunal_de_Contas_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" }, { "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": "reported", "shade": "medium", "claim_status": "Independently reported", "claim_basis": "Sources: two independent news reports, one other independent source and three press releases from the makers. The cited evidence includes no independent study or report and no finding by a regulator or court.", "profile": { "case_id": "AIBD-0083", "catalog_version": "1.0.0", "source_fingerprint": "4201a828e804f23a9a8050043534e32c43730b904be02d130fecad0f2240b181", "collection_refs": [ { "collection_id": "aibd", "version": "snapshot-8bf7cfec9cb185aa" }, { "collection_id": "aibd", "version": "2026-10-25" } ], "source_ids": [ "AIBD-0083-source-0001", "AIBD-0083-source-0002", "AIBD-0083-source-0003", "AIBD-0083-source-0004", "AIBD-0083-source-0005", "AIBD-0083-source-0006" ], "families": { "strategic assessments": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "evaluations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "monetary observations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "institutional decisions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] } }, "fields": { "actors[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "developer": "Tribunal de Contas da União (TCU), in-house", "deployer": "Tribunal de Contas da União (TCU); also shared with DNIT and the Ministry of Infrastructure under a 2020 agreement" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "developer", "deployer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "actors[].ownership_control": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "ai_contribution": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "ai_relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "category": "general benefit", "ai_role": { "status": "unassessed", "statement": "The TCU attributes the 2021 figure to control actions supported by Alice under its benefit-measurement method. It says “o segundo de fato reflete o benefício calculado, que resultou da ação de controle e foi medido”. No independent evaluation or counterfactual was found. The 2017 DNIT/BR-153 example rests on a trade-press interview with a TCU auditor. The TCU acórdão was not available. Developer and deployer are the same public body." } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ai_role", "category" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "assessments[].alternatives": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].assessor_date": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].depth": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].display_confidence": { "state": "value_present", "value": { "kind": "structured", "data": { "confidence": "medium", "evidence_word": "reported", "claim_status": "Independently reported", "basis": "Sources: two independent news reports, one other independent source and three press releases from the makers. The cited evidence includes no independent study or report and no finding by a regulator or court.", "interpretation": "Existing display rule preserved; the richer outcome-specific confidence question still needs review." } }, "provenance": { "kind": "curatorial", "basis": "Derived from the existing case display properties; not a new evidentiary judgment.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "assessments[].rationale": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "personal", "reason": "Aggregate program figure with no discrete attributable event." }, { "group": "organizational", "reason": "The R$426 million is an annual total of control benefits credited to the Alice system, not a single verified event." }, { "group": "societal", "reason": "Aggregate. The TCU's own benefit-measurement methodology, not an independent evaluation." } ] } }, "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" }, "assessments[].rubric_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].status_basis": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].target": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "personal", "reason": "Aggregate program figure with no discrete attributable event." }, { "group": "organizational", "reason": "The R$426 million is an annual total of control benefits credited to the Alice system, not a single verified event." }, { "group": "societal", "reason": "Aggregate. The TCU's own benefit-measurement methodology, not an independent evaluation." } ] } }, "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": "IRS audit-selection algorithm, an audit body's targeting tool like TCU's ALICE, skewed audits toward Black taxpayers, harming the taxpayers the audit function serves.", "links": [ { "database": "AI Incident Database", "identifier": "461", "title": "IRS Audited Black Taxpayers More Frequently Reportedly Due to Algorithm", "url": "https://incidentdatabase.ai/cite/461", "group": "societal", "basis": "IRS audit-selection algorithm, an audit body's targeting tool like TCU's ALICE, skewed audits toward Black taxpayers, harming the taxpayers the audit function serves.", "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": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].costs[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].counterfactual": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].currency_price_basis": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].gross_net": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].measure_type": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].period_unit": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].realization": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].recipient_payer": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].return_payback": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "economics[].valuation_method": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "monetary observations" }, "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": "captured R$426m in 2021 (R$194m in 2020)", "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": "461", "title": "IRS Audited Black Taxpayers More Frequently Reportedly Due to Algorithm", "url": "https://incidentdatabase.ai/cite/461", "group": "societal", "basis": "IRS audit-selection algorithm, an audit body's targeting tool like TCU's ALICE, skewed audits toward Black taxpayers, harming the taxpayers the audit function serves." } } }, "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": "persisted", "date": "2026-05-06", "note": "A TCU plenary ruling of 6 May 2026 (Acórdão 1.145/2026) records that the tool, now called Alice 360, has moved to intensive use of AI, with LLM-based query screens; no outcome figures are given.", "quote": "As evoluções incrementais já implementadas no Alice 360 incluem a transição das telas de consulta para sistemas baseados em Modelos de Linguagem de Grande Escala (LLM).", "url": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/" } } }, "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-0083" } }, "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": "The Tribunal de Contas da União (TCU) operates ALICE, a text-mining robot. It reads federal tender notices and electronic-auction records daily and sends auditors a list of possible irregularities. Trade press in 2017 and 2018 expanded the name as “Análise de Licitações e Editais”. The TCU's own July 2020 release calls it the “Sistema de Análise de Licitações e Contratos (Alice)”. In its 4 March 2022 statement on 2021 control benefits, the TCU reported the value captured through Alice. It was R$426 million in 2021 against R$194 million in 2020. Only the year is given, so 1 January 2021 is used. Trade press in September 2017 quoted TCU auditor Valéria Nakano that Alice found two DNIT notices worth R$39 million. They were for maintaining BR-153 stretches already under concession, blocked by an acórdão within two months. That acórdão could not be obtained, so the example is unverified.", "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": "Aggregate program figure with no discrete attributable event." }, { "group": "organizational", "reason": "The R$426 million is an annual total of control benefits credited to the Alice system, not a single verified event." }, { "group": "societal", "reason": "Aggregate. The TCU's own benefit-measurement methodology, not an independent evaluation." } ] } }, "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": "Daily automated screening of federal procurement notices to direct external-control auditors to likely irregularities" } }, "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": "Brasília, 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": "Daily automated screening of federal procurement notices to direct external-control auditors to likely irregularities" } }, "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": "2021-01-01", "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 461 (medium confidence); severity not given by the source.", "source": "https://incidentdatabase.ai/cite/461", "editor": "AIBD" }, { "date": "2026-10-20", "change": "Replaced “CGU's adaptation of ALICE” with the CGU's own statement that it developed its ALICE (Analisador de Licitações, Contratos e Editais); stated that December 2022 is when TCE-MG published the result of its audit of August 2022 tenders; and gave both expansions of the TCU tool's name because the TCU's July 2020 release calls it “Sistema de Análise de Licitações e Contratos (Alice)” while the 2017 and 2018 press pieces expand it as “Análise de Licitações e Editais”.", "source": "https://portal.tcu.gov.br/imprensa/noticias/tcu-ministerio-da-infraestrutura-e-dnit-firmam-acordo-para-aperfeicoar-fiscalizacao-e-prevenir-fraudes-em-licitacoes", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Title reworded to state the event without naming who claims it.", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what happened since from the cited sources.", "source": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/", "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/Tribunal_de_Contas_da_Uni%C3%A3o; https://pt.wikipedia.org/wiki/Tribunal_de_Contas_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" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "date_observed", "revisions" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "replication.attempts[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "replication": { "produced_by": [ "Daily text-mining of the Diário Oficial and Comprasnet notices by Alice with e-mailed alerts to auditors", "Low-cost follow-up by auditors (phone call, e-mail, ofício) or formal acórdão when needed", "Agencies withdrawing, annulling or redoing flawed notices after contact" ], "must_hold": [ "Structured publication of notices on federal systems", "Auditor capacity to act on the daily list", "A benefit-measurement method that records actual, not potential, benefits" ], "echoes": [ { "date": "2024-12-30", "setting": "The CGU's ALICE (Analisador de Licitações, Contratos e Editais), which the CGU says it developed: R$257.25 million saved in concluded 2024 audits (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" }, { "date": "2022-12-01", "setting": "TCE-MG version of Alice: in December 2022 TCE-MG published the result of an audit covering 2,297 state and municipal tenders in August 2022 alone, with corrections worth R$91,723,011.31 (Atricon, 28 June 2023; publication month only)", "outcome": "recurred", "source": "https://atricon.org.br/tce-mg-apresenta-economia-feita-com-ajuda-de-robo-alice/" }, { "date": "2026-05-06", "setting": "TCU Acórdão 1.145/2026 notes ALICE 360's move to intensive AI use; no outcome figures given (Zênite summary)", "outcome": "unknown", "source": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "replication.conditions": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "replication": { "produced_by": [ "Daily text-mining of the Diário Oficial and Comprasnet notices by Alice with e-mailed alerts to auditors", "Low-cost follow-up by auditors (phone call, e-mail, ofício) or formal acórdão when needed", "Agencies withdrawing, annulling or redoing flawed notices after contact" ], "must_hold": [ "Structured publication of notices on federal systems", "Auditor capacity to act on the daily list", "A benefit-measurement method that records actual, not potential, benefits" ], "echoes": [ { "date": "2024-12-30", "setting": "The CGU's ALICE (Analisador de Licitações, Contratos e Editais), which the CGU says it developed: R$257.25 million saved in concluded 2024 audits (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" }, { "date": "2022-12-01", "setting": "TCE-MG version of Alice: in December 2022 TCE-MG published the result of an audit covering 2,297 state and municipal tenders in August 2022 alone, with corrections worth R$91,723,011.31 (Atricon, 28 June 2023; publication month only)", "outcome": "recurred", "source": "https://atricon.org.br/tce-mg-apresenta-economia-feita-com-ajuda-de-robo-alice/" }, { "date": "2026-05-06", "setting": "TCU Acórdão 1.145/2026 notes ALICE 360's move to intensive AI use; no outcome figures given (Zênite summary)", "outcome": "unknown", "source": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "revision_history[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "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 461 (medium confidence); severity not given by the source.", "source": "https://incidentdatabase.ai/cite/461", "editor": "AIBD" }, { "date": "2026-10-20", "change": "Replaced “CGU's adaptation of ALICE” with the CGU's own statement that it developed its ALICE (Analisador de Licitações, Contratos e Editais); stated that December 2022 is when TCE-MG published the result of its audit of August 2022 tenders; and gave both expansions of the TCU tool's name because the TCU's July 2020 release calls it “Sistema de Análise de Licitações e Contratos (Alice)” while the 2017 and 2018 press pieces expand it as “Análise de Licitações e Editais”.", "source": "https://portal.tcu.gov.br/imprensa/noticias/tcu-ministerio-da-infraestrutura-e-dnit-firmam-acordo-para-aperfeicoar-fiscalizacao-e-prevenir-fraudes-em-licitacoes", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Title reworded to state the event without naming who claims it.", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what happened since from the cited sources.", "source": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/", "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/Tribunal_de_Contas_da_Uni%C3%A3o; https://pt.wikipedia.org/wiki/Tribunal_de_Contas_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" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "revisions" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sector": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "domain": "Public administration: external audit and procurement control", "segment": "Supreme audit institution" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "domain", "segment" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].access_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].citation_locator": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "press release", "citation": "Tribunal de Contas da União (2022). Atuação do TCU gera recorde de benefícios financeiros em 2021. TCU press office, 4 Mar 2022.", "title": "Atuação do TCU gera recorde de benefícios financeiros em 2021", "url": "https://portal.tcu.gov.br/imprensa/noticias/atuacao-do-tcu-gera-recorde-de-beneficios-financeiros-em-2021", "date": "2022-03-04", "written_by": "makers", "quote": "No sistema Alice, uma das ferramentas de Tecnologia da Informação do TCU, o valor captado foi de R$ 426 milhões em 2021" }, { "kind": "press release", "citation": "Tribunal de Contas da União (2020). TCU, Ministério da Infraestrutura e DNIT firmam acordo para aperfeiçoar fiscalização e prevenir fraudes em licitações. TCU press office, 10 Jul 2020.", "title": "TCU, Ministério da Infraestrutura e DNIT firmam acordo", "url": "https://portal.tcu.gov.br/imprensa/noticias/tcu-ministerio-da-infraestrutura-e-dnit-firmam-acordo-para-aperfeicoar-fiscalizacao-e-prevenir-fraudes-em-licitacoes", "date": "2020-07-10", "written_by": "makers", "quote": "Pelo acordo, o TCU viabilizará ao MInfra e ao DNIT acesso remoto ao Sistema de Análise de Orçamentos (SAO) e ao Sistema de Análise de Licitações e Contratos (Alice)." }, { "kind": "press release", "citation": "Tribunal de Contas da União (2024). Uso de inteligência artificial aprimora processos internos no Tribunal de Contas da União. TCU press office, 22 Feb 2024.", "title": "Uso de inteligência artificial aprimora processos internos no TCU", "url": "https://portal.tcu.gov.br/imprensa/noticias/uso-de-inteligencia-artificial-aprimora-processos-internos-no-tcu.htm", "date": "2024-02-22", "written_by": "makers", "quote": "Realiza análise de editais e atas de pregão para identificar riscos em licitações." }, { "kind": "news report", "citation": "Inforchannel (2017). TCU cria robô para varredura diária de irregularidades em editais, 27 Sep 2017 (quoting TCU auditor Valéria Nakano).", "title": "TCU cria robô para varredura diária de irregularidades em editais", "url": "https://inforchannel.com.br/2017/09/27/tcu-cria-robo-para-varredura-diaria-de-irregularidades-em-editais/", "date": "2017-09-27", "written_by": "independent", "quote": "o Tribunal de Contas, via Alice, descobriu que o DNIT estdual publicou dois editais, de R$ 39 milhões, para manutenção da BR 153, mas em trechos que estão sob concessão" }, { "kind": "news report", "citation": "Gomes, H. S. (2018). Como as robôs Alice, Sofia e Monica ajudam o TCU a caçar irregularidades em licitações. G1, 20 Mar 2018, republished by Ministério Público de Contas do Espírito Santo.", "title": "Como as robôs Alice, Sofia e Monica ajudam o TCU a caçar irregularidades em licitações", "url": "https://www.mpc.es.gov.br/2018/03/como-as-robos-alice-sofia-e-monica-ajudam-o-tcu-a-cacar-irregularidades-em-licitacoes/", "date": "2018-03-20", "written_by": "independent", "quote": "O maior ganho que a gente tem é que os órgãos retiram, anulam ou cancelam" }, { "kind": "other", "citation": "Zênite (2026). TCU aponta irregularidades em contratações públicas e destaca avanço do Alice 360 com IA (summary of TCU Acórdão 1.145/2026-Plenário, rel. Min. Jorge Oliveira, 6 May 2026). Blog da Zênite, 14 May 2026.", "title": "TCU aponta irregularidades em contratações públicas e destaca avanço do Alice 360 com IA", "url": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/", "date": "2026-05-14", "written_by": "independent", "quote": "o projeto evoluiu para o uso intensivo de IA para capturar distorções complexas" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].id": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "AIBD-0083-source-0001", "AIBD-0083-source-0002", "AIBD-0083-source-0003", "AIBD-0083-source-0004", "AIBD-0083-source-0005", "AIBD-0083-source-0006" ], "role": "Existing evidence items, in their original order" }, "provenance": { "kind": "curatorial", "basis": "Stable within the fingerprinted record version; no source content or source review has been added.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "sources[].language": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "press release", "citation": "Tribunal de Contas da União (2022). Atuação do TCU gera recorde de benefícios financeiros em 2021. TCU press office, 4 Mar 2022.", "title": "Atuação do TCU gera recorde de benefícios financeiros em 2021", "url": "https://portal.tcu.gov.br/imprensa/noticias/atuacao-do-tcu-gera-recorde-de-beneficios-financeiros-em-2021", "date": "2022-03-04", "written_by": "makers", "quote": "No sistema Alice, uma das ferramentas de Tecnologia da Informação do TCU, o valor captado foi de R$ 426 milhões em 2021" }, { "kind": "press release", "citation": "Tribunal de Contas da União (2020). TCU, Ministério da Infraestrutura e DNIT firmam acordo para aperfeiçoar fiscalização e prevenir fraudes em licitações. TCU press office, 10 Jul 2020.", "title": "TCU, Ministério da Infraestrutura e DNIT firmam acordo", "url": "https://portal.tcu.gov.br/imprensa/noticias/tcu-ministerio-da-infraestrutura-e-dnit-firmam-acordo-para-aperfeicoar-fiscalizacao-e-prevenir-fraudes-em-licitacoes", "date": "2020-07-10", "written_by": "makers", "quote": "Pelo acordo, o TCU viabilizará ao MInfra e ao DNIT acesso remoto ao Sistema de Análise de Orçamentos (SAO) e ao Sistema de Análise de Licitações e Contratos (Alice)." }, { "kind": "press release", "citation": "Tribunal de Contas da União (2024). Uso de inteligência artificial aprimora processos internos no Tribunal de Contas da União. TCU press office, 22 Feb 2024.", "title": "Uso de inteligência artificial aprimora processos internos no TCU", "url": "https://portal.tcu.gov.br/imprensa/noticias/uso-de-inteligencia-artificial-aprimora-processos-internos-no-tcu.htm", "date": "2024-02-22", "written_by": "makers", "quote": "Realiza análise de editais e atas de pregão para identificar riscos em licitações." }, { "kind": "news report", "citation": "Inforchannel (2017). TCU cria robô para varredura diária de irregularidades em editais, 27 Sep 2017 (quoting TCU auditor Valéria Nakano).", "title": "TCU cria robô para varredura diária de irregularidades em editais", "url": "https://inforchannel.com.br/2017/09/27/tcu-cria-robo-para-varredura-diaria-de-irregularidades-em-editais/", "date": "2017-09-27", "written_by": "independent", "quote": "o Tribunal de Contas, via Alice, descobriu que o DNIT estdual publicou dois editais, de R$ 39 milhões, para manutenção da BR 153, mas em trechos que estão sob concessão" }, { "kind": "news report", "citation": "Gomes, H. S. (2018). Como as robôs Alice, Sofia e Monica ajudam o TCU a caçar irregularidades em licitações. G1, 20 Mar 2018, republished by Ministério Público de Contas do Espírito Santo.", "title": "Como as robôs Alice, Sofia e Monica ajudam o TCU a caçar irregularidades em licitações", "url": "https://www.mpc.es.gov.br/2018/03/como-as-robos-alice-sofia-e-monica-ajudam-o-tcu-a-cacar-irregularidades-em-licitacoes/", "date": "2018-03-20", "written_by": "independent", "quote": "O maior ganho que a gente tem é que os órgãos retiram, anulam ou cancelam" }, { "kind": "other", "citation": "Zênite (2026). TCU aponta irregularidades em contratações públicas e destaca avanço do Alice 360 com IA (summary of TCU Acórdão 1.145/2026-Plenário, rel. Min. Jorge Oliveira, 6 May 2026). Blog da Zênite, 14 May 2026.", "title": "TCU aponta irregularidades em contratações públicas e destaca avanço do Alice 360 com IA", "url": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/", "date": "2026-05-14", "written_by": "independent", "quote": "o projeto evoluiu para o uso intensivo de IA para capturar distorções complexas" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].upstream_sources": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "strategic_assessments[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "strategic assessments" }, "summary": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "summary": "TCU says its ALICE tender-analysis robot captured R$426m in 2021 (R$194m in 2020); specific cases reported only via press", "account": "The Tribunal de Contas da União (TCU) operates ALICE, a text-mining robot. It reads federal tender notices and electronic-auction records daily and sends auditors a list of possible irregularities. Trade press in 2017 and 2018 expanded the name as “Análise de Licitações e Editais”. The TCU's own July 2020 release calls it the “Sistema de Análise de Licitações e Contratos (Alice)”. In its 4 March 2022 statement on 2021 control benefits, the TCU reported the value captured through Alice. It was R$426 million in 2021 against R$194 million in 2020. Only the year is given, so 1 January 2021 is used. Trade press in September 2017 quoted TCU auditor Valéria Nakano that Alice found two DNIT notices worth R$39 million. They were for maintaining BR-153 stretches already under concession, blocked by an acórdão within two months. That acórdão could not be obtained, so the example is unverified." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "summary", "account" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].autonomy_permissions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].component_role": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].deployment_configuration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].inputs_outputs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_name": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].product_name": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "system": "ALICE, expanded as 'Análise de Licitações e Editais' in 2017 and 2018 press reports and named 'Sistema de Análise de Licitações e Contratos (Alice)' in the TCU's July 2020 release, with companion tools SOFIA and MONICA; evolved into ALICE 360 by 2026" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "system" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].provider": { "state": "value_present", "value": { "kind": "structured", "data": { "application_developer": "Tribunal de Contas da União (TCU), in-house" } }, "provenance": { "kind": "legacy_record", "basis": "Mapped from the existing case description without a new external source review.", "record_fields": [ "developer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "taxonomy_crosswalks[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "title": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "title": "Brazil's TCU captures R$426 million through its ALICE tender-analysis robot in 2021", "headline": "TCU's ALICE tender-analysis robot captures R$426m in 2021" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "title", "headline" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "version": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "4201a828e804f23a9a8050043534e32c43730b904be02d130fecad0f2240b181" ], "role": "SHA-256 of normalized original case data" }, "provenance": { "kind": "curatorial", "basis": "Deterministic content version assigned by the local migration.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "workflow": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "The Tribunal de Contas da União (TCU) operates ALICE, a text-mining robot. It reads federal tender notices and electronic-auction records daily and sends auditors a list of possible irregularities. Trade press in 2017 and 2018 expanded the name as “Análise de Licitações e Editais”. The TCU's own July 2020 release calls it the “Sistema de Análise de Licitações e Contratos (Alice)”. In its 4 March 2022 statement on 2021 control benefits, the TCU reported the value captured through Alice. It was R$426 million in 2021 against R$194 million in 2020. Only the year is given, so 1 January 2021 is used. Trade press in September 2017 quoted TCU auditor Valéria Nakano that Alice found two DNIT notices worth R$39 million. They were for maintaining BR-153 stretches already under concession, blocked by an acórdão within two months. That acórdão could not be obtained, so the example is unverified.", "replication": { "produced_by": [ "Daily text-mining of the Diário Oficial and Comprasnet notices by Alice with e-mailed alerts to auditors", "Low-cost follow-up by auditors (phone call, e-mail, ofício) or formal acórdão when needed", "Agencies withdrawing, annulling or redoing flawed notices after contact" ], "must_hold": [ "Structured publication of notices on federal systems", "Auditor capacity to act on the daily list", "A benefit-measurement method that records actual, not potential, benefits" ], "echoes": [ { "date": "2024-12-30", "setting": "The CGU's ALICE (Analisador de Licitações, Contratos e Editais), which the CGU says it developed: R$257.25 million saved in concluded 2024 audits (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" }, { "date": "2022-12-01", "setting": "TCE-MG version of Alice: in December 2022 TCE-MG published the result of an audit covering 2,297 state and municipal tenders in August 2022 alone, with corrections worth R$91,723,011.31 (Atricon, 28 June 2023; publication month only)", "outcome": "recurred", "source": "https://atricon.org.br/tce-mg-apresenta-economia-feita-com-ajuda-de-robo-alice/" }, { "date": "2026-05-06", "setting": "TCU Acórdão 1.145/2026 notes ALICE 360's move to intensive AI use; no outcome figures given (Zênite summary)", "outcome": "unknown", "source": "https://zenite.blog.br/tcu-aponta-irregularidades-em-contratacoes-publicas-e-destaca-avanco-do-alice-360-com-ia/" } ] } } }, "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": 29, "reviewed": 0, "record_mapped": 29, "not_assessed": 62, "complete": false, "by_state": { "value_present": 29, "not_reported": 0, "unresolved": 0, "not_assessed": 62, "not_applicable": 0, "withheld": 0, "source_unavailable": 0 } } } }