{ "id": "AIBD-0380", "title": "Kunshan police “AI police” models flag a mobile gambling ring at Zhouzhuang, 20-plus arrested on 10 September 2024, and trace a telecom fraud's card transfers to freeze 500,000 yuan within 10 minutes", "summary": "Kunshan police say their “AI police” models led a 10 September 2024 bust of a mobile gambling ring (20-plus arrests) and froze 500,000 yuan of a 980,000-yuan telecom fraud within 10 minutes.", "date_observed": "2024-09-10", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "On 10 September 2024, the Kunshan Public Security Bureau in Jiangsu broke up a gang running a mobile open-air casino in Zhouzhuang town. It arrested over 20 suspects. Modern Express reported that the “AI police” had found the ring (NetEase reprint, 6 October 2024). These are models that detect outdoor gambling from behavioral patterns in bulk data. In a telecom fraud handled by the Lujia police station, a victim lost 980,000 yuan. The models traced three tiers of card transfers and froze 500,000 yuan within 10 minutes. They identified 87 suspect accounts within 8 hours. Nine suspects were arrested on the third day with 200,000 yuan recovered (Suzhou Daily via suzhou.gov.cn, 7 October 2024). The models were built by the “Kunpeng Squad”, 35 officers assembled in May 2024. They report over 220 models and, over six months, 609 fraud cases solved and 32.47 million yuan recovered (both sources). All figures are the police's own.", "category": "benefit created", "unexpected": false, "purpose": "Models built by the Kunshan police to detect crime patterns and trace funds for investigators. The bust and the freeze were that purpose.", "system": "Kunshan Public Security Bureau 'AI police' (AI警察): more than 220 'main-attack, main-defense' intelligent models built by the Kunpeng Squad", "model_version": null, "developer": "Kunshan Public Security Bureau, Kunpeng Squad (鲲鹏战队), with Suzhou Public Security Bureau support", "deployer": "Kunshan Public Security Bureau", "location": "Kunshan, China", "domain": "Law enforcement / criminal investigation", "segment": "Gambling rings and telecom fraud", "benefit_type": "Reduced Risk", "taxonomy_note": "The quantified outcome is a fraud loss partly averted (500,000 yuan frozen), which is Reduced Risk; the dated gambling bust is a crime stopped, Trustible's Reduced Violence, but the offense was nonviolent.", "registry_ids": { "oecd_aim": "2024-10-03-edf0" }, "ratings": [ { "group": "personal", "depth": 2, "reason": "The fraud victim who lost 980,000 yuan had 500,000 yuan frozen within 10 minutes and 200,000 yuan recovered after the arrests, per the police. Whether the frozen sum was returned is not reported." }, { "group": "organizational", "depth": 2, "reason": "The Kunshan bureau reports a 20-plus-suspect bust, nine fraud arrests in three days and 609 fraud cases solved in six months, recovery rates up 62%. A measurable gain for the unit, on its own figures." }, { "group": "societal", "depth": null, "reason": "The six-month aggregate of 32.47 million yuan recovered is the deployer's own claim with no method or independent check, so no population effect is established." } ], "ai_role": { "status": "assessed", "statement": "Both accounts are the police's. They credit the models with flagging the outdoor casino from behavioral features in bulk data and mapping the ring's structure “with one click”. They also traced card-tier fund flows in parallel, so a freeze came within 10 minutes. Officers made the arrests and freeze requests. Deputy criminal-investigation chief He Yongliang describes the gain as 24-hour, parallel rather than serial casework. Neither source separates the models' share from ordinary investigation." }, "evidence": [ { "kind": "news report", "citation": "Ji, Y. (2024). 江苏昆山公安：“AI警察”上岗 “算力”引爆“战力”. Modern Express (现代快报) via NetEase, October 6, 2024.", "title": "江苏昆山公安：“AI警察”上岗 “算力”引爆“战力”", "url": "https://m.163.com/dy/article/JDQORBU7053469KC.html", "date": "2024-10-06", "written_by": "independent", "quote": "仅用10分钟，'AI警察'就追踪到三级卡资金流向，并成功止付50万元" }, { "kind": "news report", "citation": "Suzhou Daily (2024). 昆山警方释放出“专业+机制+大数据”新型警务运行模式强大新质战力. Suzhou Municipal People's Government website, October 7, 2024.", "title": "昆山警方释放出“专业+机制+大数据”新型警务运行模式强大新质战力", "url": "https://www.suzhou.gov.cn/2024ndzt/mtjjxzc/202410/41e0e0bc1a8843ebb55e2a0d54f44bf5.shtml", "date": "2024-10-07", "written_by": "deployer", "quote": "AI警察的应用为改进治理提供了一条新的路径" }, { "kind": "registry label", "citation": "OECD.AI (2024). AI Police Deployed in Kunshan, China, Lead to Major Crime Busts and Fraud Prevention. OECD AI Incidents and Hazards Monitor, 2024-10-03.", "title": "AI Police Deployed in Kunshan, China, Lead to Major Crime Busts and Fraud Prevention", "url": "https://oecd.ai/en/incidents/2024-10-03-edf0", "date": "2024-10-03", "written_by": "independent", "quote": "deployed AI-driven policing systems ('AI police') to identify and dismantle a mobile gambling ring, arresting over 20 suspects" } ], "replication": { "produced_by": [ "Bulk police data on gambling and payment behavior that models can score for anomalies", "A dedicated squad of officers who build and run models inside the bureau", "Bank cooperation that lets a traced account be frozen within minutes" ], "must_hold": [ "Officers verify each model flag and make the arrests and freeze requests themselves", "Figures are the deployer's own; an outside audit would be needed to confirm them" ], "echoes": [] }, "paired_incident": null, "headline": "Kunshan police AI flags gambling ring and freezes fraud transfers", "metric": "traced three tiers of card transfers and froze 500,000 yuan within 10 minutes", "comparator": null, "later": null, "value": null, "developer_country": "China", "deployer_country": "China", "unrated_because": null, "brief_notes": null, "brief": null, "revisions": [ { "date": "2026-10-21", "change": "Record drafted from the OECD Monitor entry and the cited sources.", "source": "https://oecd.ai/en/incidents/2024-10-03-edf0", "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://en.wikipedia.org/wiki/Kunshan; https://en.wikipedia.org/wiki/Kunshan", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" } ], "confidence": "reported", "shade": "medium", "claim_status": "Independently reported", "claim_basis": "Sources: one independent news report, a registry entry and the deployer's news report. The cited evidence includes no independent study or report and no finding by a regulator or court.", "profile": { "case_id": "AIBD-0380", "catalog_version": "1.0.0", "source_fingerprint": "8c7fdbc00abd5b816b15e4d1333369ff72f148a42c84cfe1d89d009021d6bde6", "collection_refs": [ { "collection_id": "aibd", "version": "snapshot-8bf7cfec9cb185aa" }, { "collection_id": "aibd", "version": "2026-10-25" }, { "collection_id": "chanticleer", "version": "2026-10-25" } ], "source_ids": [ "AIBD-0380-source-0001", "AIBD-0380-source-0002", "AIBD-0380-source-0003" ], "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": "Kunshan Public Security Bureau, Kunpeng Squad (鲲鹏战队), with Suzhou Public Security Bureau support", "deployer": "Kunshan Public Security Bureau" } }, "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": "value_present", "value": { "kind": "record_fields", "fields": { "ai_role": { "status": "assessed", "statement": "Both accounts are the police's. They credit the models with flagging the outdoor casino from behavioral features in bulk data and mapping the ring's structure “with one click”. They also traced card-tier fund flows in parallel, so a freeze came within 10 minutes. Officers made the arrests and freeze requests. Deputy criminal-investigation chief He Yongliang describes the gain as 24-hour, parallel rather than serial casework. Neither source separates the models' share from ordinary investigation." } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ai_role" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "ai_relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "category": "benefit created", "ai_role": { "status": "assessed", "statement": "Both accounts are the police's. They credit the models with flagging the outdoor casino from behavioral features in bulk data and mapping the ring's structure “with one click”. They also traced card-tier fund flows in parallel, so a freeze came within 10 minutes. Officers made the arrests and freeze requests. Deputy criminal-investigation chief He Yongliang describes the gain as 24-hour, parallel rather than serial casework. Neither source separates the models' share from ordinary investigation." } } }, "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": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "personal", "depth": 2, "reason": "The fraud victim who lost 980,000 yuan had 500,000 yuan frozen within 10 minutes and 200,000 yuan recovered after the arrests, per the police. Whether the frozen sum was returned is not reported." }, { "group": "organizational", "depth": 2, "reason": "The Kunshan bureau reports a 20-plus-suspect bust, nine fraud arrests in three days and 609 fraud cases solved in six months, recovery rates up 62%. A measurable gain for the unit, on its own figures." }, { "group": "societal", "reason": "The six-month aggregate of 32.47 million yuan recovered is the deployer's own claim with no method or independent check, so no population effect is established." } ] } }, "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[].display_confidence": { "state": "value_present", "value": { "kind": "structured", "data": { "confidence": "medium", "evidence_word": "reported", "claim_status": "Independently reported", "basis": "Sources: one independent news report, a registry entry and the deployer's news report. 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", "depth": 2, "reason": "The fraud victim who lost 980,000 yuan had 500,000 yuan frozen within 10 minutes and 200,000 yuan recovered after the arrests, per the police. Whether the frozen sum was returned is not reported." }, { "group": "organizational", "depth": 2, "reason": "The Kunshan bureau reports a 20-plus-suspect bust, nine fraud arrests in three days and 609 fraud cases solved in six months, recovery rates up 62%. A measurable gain for the unit, on its own figures." }, { "group": "societal", "reason": "The six-month aggregate of 32.47 million yuan recovered is the deployer's own claim with no method or independent check, so no population effect is established." } ] } }, "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", "depth": 2, "reason": "The fraud victim who lost 980,000 yuan had 500,000 yuan frozen within 10 minutes and 200,000 yuan recovered after the arrests, per the police. Whether the frozen sum was returned is not reported." }, { "group": "organizational", "depth": 2, "reason": "The Kunshan bureau reports a 20-plus-suspect bust, nine fraud arrests in three days and 609 fraud cases solved in six months, recovery rates up 62%. A measurable gain for the unit, on its own figures." }, { "group": "societal", "reason": "The six-month aggregate of 32.47 million yuan recovered is the deployer's own claim with no method or independent check, so no population effect is established." } ] } }, "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": "not_assessed", "review_state": "not_assessed", "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": "traced three tiers of card transfers and froze 500,000 yuan within 10 minutes", "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": { "registry_ids": { "oecd_aim": "2024-10-03-edf0" } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "registry_ids" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "follow_up[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "human_oversight": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "id": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "id": "AIBD-0380" } }, "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", "taxonomy_note": "The quantified outcome is a fraud loss partly averted (500,000 yuan frozen), which is Reduced Risk; the dated gambling bust is a crime stopped, Trustible's Reduced Violence, but the offense was nonviolent." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "benefit_type", "taxonomy_note" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].claim": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "On 10 September 2024, the Kunshan Public Security Bureau in Jiangsu broke up a gang running a mobile open-air casino in Zhouzhuang town. It arrested over 20 suspects. Modern Express reported that the “AI police” had found the ring (NetEase reprint, 6 October 2024). These are models that detect outdoor gambling from behavioral patterns in bulk data. In a telecom fraud handled by the Lujia police station, a victim lost 980,000 yuan. The models traced three tiers of card transfers and froze 500,000 yuan within 10 minutes. They identified 87 suspect accounts within 8 hours. Nine suspects were arrested on the third day with 200,000 yuan recovered (Suzhou Daily via suzhou.gov.cn, 7 October 2024). The models were built by the “Kunpeng Squad”, 35 officers assembled in May 2024. They report over 220 models and, over six months, 609 fraud cases solved and 32.47 million yuan recovered (both sources). All figures are the police's own.", "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", "depth": 2, "reason": "The fraud victim who lost 980,000 yuan had 500,000 yuan frozen within 10 minutes and 200,000 yuan recovered after the arrests, per the police. Whether the frozen sum was returned is not reported." }, { "group": "organizational", "depth": 2, "reason": "The Kunshan bureau reports a 20-plus-suspect bust, nine fraud arrests in three days and 609 fraud cases solved in six months, recovery rates up 62%. A measurable gain for the unit, on its own figures." }, { "group": "societal", "reason": "The six-month aggregate of 32.47 million yuan recovered is the deployer's own claim with no method or independent check, so no population effect is established." } ] } }, "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": "Models built by the Kunshan police to detect crime patterns and trace funds for investigators. The bust and the freeze were that purpose." } }, "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": "Kunshan, China", "developer_country": "China", "deployer_country": "China" } }, "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": "Models built by the Kunshan police to detect crime patterns and trace funds for investigators. The bust and the freeze were that purpose." } }, "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": "2024-09-10", "revisions": [ { "date": "2026-10-21", "change": "Record drafted from the OECD Monitor entry and the cited sources.", "source": "https://oecd.ai/en/incidents/2024-10-03-edf0", "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://en.wikipedia.org/wiki/Kunshan; https://en.wikipedia.org/wiki/Kunshan", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; 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": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "replication.conditions": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "replication": { "produced_by": [ "Bulk police data on gambling and payment behavior that models can score for anomalies", "A dedicated squad of officers who build and run models inside the bureau", "Bank cooperation that lets a traced account be frozen within minutes" ], "must_hold": [ "Officers verify each model flag and make the arrests and freeze requests themselves", "Figures are the deployer's own; an outside audit would be needed to confirm them" ], "echoes": [] } } }, "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": "2026-10-21", "change": "Record drafted from the OECD Monitor entry and the cited sources.", "source": "https://oecd.ai/en/incidents/2024-10-03-edf0", "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://en.wikipedia.org/wiki/Kunshan; https://en.wikipedia.org/wiki/Kunshan", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; 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": "Law enforcement / criminal investigation", "segment": "Gambling rings and telecom fraud" } }, "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": "news report", "citation": "Ji, Y. (2024). 江苏昆山公安：“AI警察”上岗 “算力”引爆“战力”. Modern Express (现代快报) via NetEase, October 6, 2024.", "title": "江苏昆山公安：“AI警察”上岗 “算力”引爆“战力”", "url": "https://m.163.com/dy/article/JDQORBU7053469KC.html", "date": "2024-10-06", "written_by": "independent", "quote": "仅用10分钟，'AI警察'就追踪到三级卡资金流向，并成功止付50万元" }, { "kind": "news report", "citation": "Suzhou Daily (2024). 昆山警方释放出“专业+机制+大数据”新型警务运行模式强大新质战力. Suzhou Municipal People's Government website, October 7, 2024.", "title": "昆山警方释放出“专业+机制+大数据”新型警务运行模式强大新质战力", "url": "https://www.suzhou.gov.cn/2024ndzt/mtjjxzc/202410/41e0e0bc1a8843ebb55e2a0d54f44bf5.shtml", "date": "2024-10-07", "written_by": "deployer", "quote": "AI警察的应用为改进治理提供了一条新的路径" }, { "kind": "registry label", "citation": "OECD.AI (2024). AI Police Deployed in Kunshan, China, Lead to Major Crime Busts and Fraud Prevention. OECD AI Incidents and Hazards Monitor, 2024-10-03.", "title": "AI Police Deployed in Kunshan, China, Lead to Major Crime Busts and Fraud Prevention", "url": "https://oecd.ai/en/incidents/2024-10-03-edf0", "date": "2024-10-03", "written_by": "independent", "quote": "deployed AI-driven policing systems ('AI police') to identify and dismantle a mobile gambling ring, arresting over 20 suspects" } ] } }, "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-0380-source-0001", "AIBD-0380-source-0002", "AIBD-0380-source-0003" ], "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": "news report", "citation": "Ji, Y. (2024). 江苏昆山公安：“AI警察”上岗 “算力”引爆“战力”. Modern Express (现代快报) via NetEase, October 6, 2024.", "title": "江苏昆山公安：“AI警察”上岗 “算力”引爆“战力”", "url": "https://m.163.com/dy/article/JDQORBU7053469KC.html", "date": "2024-10-06", "written_by": "independent", "quote": "仅用10分钟，'AI警察'就追踪到三级卡资金流向，并成功止付50万元" }, { "kind": "news report", "citation": "Suzhou Daily (2024). 昆山警方释放出“专业+机制+大数据”新型警务运行模式强大新质战力. Suzhou Municipal People's Government website, October 7, 2024.", "title": "昆山警方释放出“专业+机制+大数据”新型警务运行模式强大新质战力", "url": "https://www.suzhou.gov.cn/2024ndzt/mtjjxzc/202410/41e0e0bc1a8843ebb55e2a0d54f44bf5.shtml", "date": "2024-10-07", "written_by": "deployer", "quote": "AI警察的应用为改进治理提供了一条新的路径" }, { "kind": "registry label", "citation": "OECD.AI (2024). AI Police Deployed in Kunshan, China, Lead to Major Crime Busts and Fraud Prevention. OECD AI Incidents and Hazards Monitor, 2024-10-03.", "title": "AI Police Deployed in Kunshan, China, Lead to Major Crime Busts and Fraud Prevention", "url": "https://oecd.ai/en/incidents/2024-10-03-edf0", "date": "2024-10-03", "written_by": "independent", "quote": "deployed AI-driven policing systems ('AI police') to identify and dismantle a mobile gambling ring, arresting over 20 suspects" } ] } }, "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": "Kunshan police say their “AI police” models led a 10 September 2024 bust of a mobile gambling ring (20-plus arrests) and froze 500,000 yuan of a 980,000-yuan telecom fraud within 10 minutes.", "account": "On 10 September 2024, the Kunshan Public Security Bureau in Jiangsu broke up a gang running a mobile open-air casino in Zhouzhuang town. It arrested over 20 suspects. Modern Express reported that the “AI police” had found the ring (NetEase reprint, 6 October 2024). These are models that detect outdoor gambling from behavioral patterns in bulk data. In a telecom fraud handled by the Lujia police station, a victim lost 980,000 yuan. The models traced three tiers of card transfers and froze 500,000 yuan within 10 minutes. They identified 87 suspect accounts within 8 hours. Nine suspects were arrested on the third day with 200,000 yuan recovered (Suzhou Daily via suzhou.gov.cn, 7 October 2024). The models were built by the “Kunpeng Squad”, 35 officers assembled in May 2024. They report over 220 models and, over six months, 609 fraud cases solved and 32.47 million yuan recovered (both sources). All figures are the police's own." } }, "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": "Kunshan Public Security Bureau 'AI police' (AI警察): more than 220 'main-attack, main-defense' intelligent models built by the Kunpeng Squad" } }, "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": "Kunshan Public Security Bureau, Kunpeng Squad (鲲鹏战队), with Suzhou Public Security Bureau support" } }, "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": "Kunshan police “AI police” models flag a mobile gambling ring at Zhouzhuang, 20-plus arrested on 10 September 2024, and trace a telecom fraud's card transfers to freeze 500,000 yuan within 10 minutes", "headline": "Kunshan police AI flags gambling ring and freezes fraud transfers" } }, "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": [ "8c7fdbc00abd5b816b15e4d1333369ff72f148a42c84cfe1d89d009021d6bde6" ], "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": "On 10 September 2024, the Kunshan Public Security Bureau in Jiangsu broke up a gang running a mobile open-air casino in Zhouzhuang town. It arrested over 20 suspects. Modern Express reported that the “AI police” had found the ring (NetEase reprint, 6 October 2024). These are models that detect outdoor gambling from behavioral patterns in bulk data. In a telecom fraud handled by the Lujia police station, a victim lost 980,000 yuan. The models traced three tiers of card transfers and froze 500,000 yuan within 10 minutes. They identified 87 suspect accounts within 8 hours. Nine suspects were arrested on the third day with 200,000 yuan recovered (Suzhou Daily via suzhou.gov.cn, 7 October 2024). The models were built by the “Kunpeng Squad”, 35 officers assembled in May 2024. They report over 220 models and, over six months, 609 fraud cases solved and 32.47 million yuan recovered (both sources). All figures are the police's own.", "replication": { "produced_by": [ "Bulk police data on gambling and payment behavior that models can score for anomalies", "A dedicated squad of officers who build and run models inside the bureau", "Bank cooperation that lets a traced account be frozen within minutes" ], "must_hold": [ "Officers verify each model flag and make the arrests and freeze requests themselves", "Figures are the deployer's own; an outside audit would be needed to confirm them" ], "echoes": [] } } }, "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": 28, "reviewed": 0, "record_mapped": 28, "not_assessed": 63, "complete": false, "by_state": { "value_present": 28, "not_reported": 0, "unresolved": 0, "not_assessed": 63, "not_applicable": 0, "withheld": 0, "source_unavailable": 0 } } } }