{"id":"AIBD-0703","title":"South Korea's Board of Audit and Inspection reports that an upgrade lifted Hwaseong City's pothole detectors to 90% accuracy in a May 2025 test","summary":"South Korea's Board of Audit and Inspection found that pothole detectors in Hwaseong City's vehicles reached 90% accuracy in May 2025. An upgrade had matched them to the city's repair standard.","date_observed":"2025-05-01","date_basis":"event","date_precision":"month","benefit_status":"reported","source_collection":null,"source_entry":null,"account":"Hwaseong City in Gyeonggi Province spent KRW 2,188 million from June 2022 to December 2024 on a system to detect potholes. Terminals in 82 vehicles detect potholes and other road hazards automatically. South Korea's Board of Audit and Inspection examined it in a performance audit of public-sector AI, published on 5 January 2026. In a formal evaluation under national criteria for intelligent transport systems, the system had scored a detection accuracy of 93.8%. Yet the city's road department could not make proper use of the results. The system flagged minor damage below the city's repair standard and located potholes only to the town or neighborhood. A KRW 353 million upgrade from December 2024 to June 2025 aligned the grades with the repair standard. It also added street addresses and GPS coordinates. The board reports that the city measured 90% accuracy in its own test in May 2025 and that operating efficiency improved. The board notes that the system still flags potholes on expressways and national roads that the city does not manage. The vendor's name is redacted in the public report.","category":"aggregate result","unexpected":false,"purpose":"A vendor whose name is redacted in the public report built the system to detect potholes and fallen objects from terminals in city vehicles.","system":"Pothole detection system (포트홀 감지시스템): 82 vehicle terminals and an operating system bought under the Hwaseong intelligent transport system project","model_version":null,"developer":"Not named (the vendor's name is redacted in the public report)","deployer":"Hwaseong City (화성시), Gyeonggi Province, road management department","location":"Hwaseong, Gyeonggi Province, South Korea","domain":"Road maintenance","segment":null,"benefit_type":"Improved Task Accuracy","work_activities":["4.A.1.b.2","4.A.1.b.1"],"taxonomy_note":null,"registry_ids":{},"ratings":[{"group":"organizational","depth":1,"reason":"The board reports that operating efficiency improved and that the city measured 90% accuracy, but it gives no figure for the change in repair work."}],"ai_role":{"status":"unassessed","statement":"The 90% figure comes from the city's own test of the upgraded terminals. The board does not compare repair work with and without the system. It counts the system among commercial AI products and notes that such products need further training on local data, but it does not describe this system's model."},"evidence":[{"kind":"report","citation":"Board of Audit and Inspection of Korea (감사원). 감사보고서 - 인공지능 대비실태 Ⅰ(신뢰성 확보 분야) - [Performance audit report, AI preparedness I: ensuring reliability]. Report dated December 2025, published 5 January 2026. Chapter 3, section 4, printed pp. 50-52.","title":"감사보고서 - 인공지능 대비실태 Ⅰ(신뢰성 확보 분야) -","url":"https://www.bai.go.kr/api/files/download?fileId=jj20260303%20152833&fileSn=1","date":"2026-01-05","written_by":"independent","quote":"그 결과 2025년 5월 화성시가 포트홀 감지시스템 단말기의 성능을 시험한 결과 포트홀 탐지 정확도가 90%로 개선된 것으로 나타났고, 도로파손 위치 정보도 사용자가 알기 쉽게 도로명 주소 등이 제공되고 있어 위 시스템의 운용 효율성이 향상48)되었다."}],"replication":{"produced_by":["Terminals in 82 city vehicles filmed the road and flagged potholes automatically.","The upgrade graded potholes by width against the city's repair standard and gave locations as street addresses and GPS coordinates."],"must_hold":["The city's repair standard must be written into the system's performance requirements.","Commercial AI products need further training on local data to perform as expected."],"echoes":[]},"paired_incident":null,"headline":"Hwaseong's pothole detectors work better after an upgrade","metric":"90% accuracy","comparator":{"against":"The same terminals before the upgrade of December 2024 to June 2025","before":"위 시스템의 탐지결과를 제대로 활용하지 못하였다 (the road department could not make proper use of the detections)","after":"포트홀 탐지 정확도가 90%로 개선 (pothole detection accuracy improved to 90%)","basis":"assumed","quote":"실제 도로 보수 담당부서(도로관리과)의 운영과정에서는 보수기준에 미달하는 경미한 도로파손이 포트홀로 감지되고 포트홀 위치 정보도 읍‧면‧동까지만 제공되어 구체적인 위치 확인이 어렵다는 사유 등으로 위 시스템의 탐지결과를 제대로 활용하지 못하였다.","url":"https://www.bai.go.kr/api/files/download?fileId=jj20260303%20152833&fileSn=1"},"later":null,"value":null,"developer_country":null,"deployer_country":"South Korea","unrated_because":null,"brief_notes":null,"brief":null,"revisions":[{"date":"2026-10-31","change":"Added the record from the report of the Board of Audit and Inspection of Korea.","source":"https://www.bai.go.kr/api/files/download?fileId=jj20260303%20152833&fileSn=1","editor":"AIBD"}],"confidence":"studied","shade":"high","claim_status":"Independently studied","claim_basis":"Sources: one independent report. 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Chapter 3, section 4, printed pp. 50-52.","title":"감사보고서 - 인공지능 대비실태 Ⅰ(신뢰성 확보 분야) -","url":"https://www.bai.go.kr/api/files/download?fileId=jj20260303%20152833&fileSn=1","date":"2026-01-05","written_by":"independent","quote":"그 결과 2025년 5월 화성시가 포트홀 감지시스템 단말기의 성능을 시험한 결과 포트홀 탐지 정확도가 90%로 개선된 것으로 나타났고, 도로파손 위치 정보도 사용자가 알기 쉽게 도로명 주소 등이 제공되고 있어 위 시스템의 운용 효율성이 향상48)되었다."}]}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["evidence"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"},"sources[].id":{"state":"value_present","value":{"kind":"identifiers","identifiers":["AIBD-0703-source-0001"],"role":"Existing evidence items, in their original order"},"provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"review_state":"record_mapped","coverage":"complete"},"sources[].language":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"sources[].relationship":{"state":"value_present","value":{"kind":"record_fields","fields":{"evidence":[{"kind":"report","citation":"Board of Audit and Inspection of Korea (감사원). 감사보고서 - 인공지능 대비실태 Ⅰ(신뢰성 확보 분야) - [Performance audit report, AI preparedness I: ensuring reliability]. Report dated December 2025, published 5 January 2026. 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An upgrade had matched them to the city's repair standard.","account":"Hwaseong City in Gyeonggi Province spent KRW 2,188 million from June 2022 to December 2024 on a system to detect potholes. Terminals in 82 vehicles detect potholes and other road hazards automatically. South Korea's Board of Audit and Inspection examined it in a performance audit of public-sector AI, published on 5 January 2026. In a formal evaluation under national criteria for intelligent transport systems, the system had scored a detection accuracy of 93.8%. Yet the city's road department could not make proper use of the results. The system flagged minor damage below the city's repair standard and located potholes only to the town or neighborhood. A KRW 353 million upgrade from December 2024 to June 2025 aligned the grades with the repair standard. It also added street addresses and GPS coordinates. The board reports that the city measured 90% accuracy in its own test in May 2025 and that operating efficiency improved. The board notes that the system still flags potholes on expressways and national roads that the city does not manage. 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Terminals in 82 vehicles detect potholes and other road hazards automatically. South Korea's Board of Audit and Inspection examined it in a performance audit of public-sector AI, published on 5 January 2026. In a formal evaluation under national criteria for intelligent transport systems, the system had scored a detection accuracy of 93.8%. Yet the city's road department could not make proper use of the results. The system flagged minor damage below the city's repair standard and located potholes only to the town or neighborhood. A KRW 353 million upgrade from December 2024 to June 2025 aligned the grades with the repair standard. It also added street addresses and GPS coordinates. The board reports that the city measured 90% accuracy in its own test in May 2025 and that operating efficiency improved. The board notes that the system still flags potholes on expressways and national roads that the city does not manage. The vendor's name is redacted in the public report.","replication":{"produced_by":["Terminals in 82 city vehicles filmed the road and flagged potholes automatically.","The upgrade graded potholes by width against the city's repair standard and gave locations as street addresses and GPS coordinates."],"must_hold":["The city's repair standard must be written into the system's performance requirements.","Commercial AI products need further training on local data to perform as expected."],"echoes":[]}}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["account","replication"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"}},"summary":{"total":91,"addressed":91,"known":28,"reviewed":2,"reviewed_complete":2,"reviewed_partial":0,"record_mapped":26,"review_not_assessed":63,"not_assessed":0,"complete":false,"by_state":{"value_present":28,"not_reported":0,"unresolved":63,"not_assessed":0,"not_applicable":0,"withheld":0,"source_unavailable":0}}},"presentation_version":"5bb4f672ab9a589f21a633567aa7787d12021e53c4659cb7ce51faa09db3c74d"}