{
  "id": "AIBD-0350",
  "title": "Skylight speed-range and machine-learning fishing alerts may have led Argentina's Prefectura Naval to intercept the Vanuatu-flagged XINRUN 579 on 5 January 2025, and a fine may have been paid",
  "summary": "PNA intercepted XINRUN 579 fishing illegally in Argentina's EEZ on 5 January 2025; Skylight says its speed-range and ML fishing alerts prompted the response and a first electronic fine was paid.",
  "date_observed": "2025-01-05",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "On Sunday 5 January 2025 the Prefectura Naval Argentina (PNA) detected the Vanuatu-flagged trawler XinRun 579. It was in Argentina's exclusive economic zone off Caleta Olivia, Santa Cruz, sailing at under 6 knots. Local rules treat that as indicating trawling. Coastguard vessel GC-25 Azopardo intercepted it. The captain was formally notified of an infraction under Law 24.922, opening administrative proceedings (Agenda Malvinas, 8 January 2025, citing official information). Skylight, the free AI maritime-monitoring platform of the Allen Institute for AI, published its own account on 31 March 2025. A rule-based Speed Range Event first alerted the authorities. A Fishing Event alert from its machine-learning model came 40 minutes later. PNA analysts redirected a nearby coastguard vessel. It led to Argentina's first international electronic fine using AI-powered evidence, with the fine and operational costs paid. It quotes the EICEMAR coordinator and the PNA GIS division lead crediting Skylight. The independent news report attributes the detection to the PNA's Sistema Guardacostas and does not mention Skylight or AI. The PNA release Skylight links to is not found live or in the Internet Archive. An NVIDIA Developer blog (3 March 2025) also reports the interdiction and fine.",
  "category": "protective response",
  "unexpected": false,
  "purpose": "Real-time detection of suspicious vessel behavior and fishing activity to support maritime enforcement against illegal, unreported and unregulated fishing. The interception was the intended use.",
  "system": "Skylight maritime-monitoring platform (Speed Range Event rule and machine-learning Fishing Event detection)",
  "model_version": "Atlantes",
  "developer": "Allen Institute for AI (Ai2), Skylight",
  "deployer": "Prefectura Naval Argentina (Dirección de Tráfico Marítimo, Fluvial y Lacustre; EICEMAR)",
  "location": "Argentine exclusive economic zone off Caleta Olivia, Santa Cruz, Argentina",
  "domain": "Fisheries enforcement / illegal, unreported and unregulated fishing",
  "segment": "National coastguard using a free non-profit AI platform",
  "benefit_type": "Improved Environmental Sustainability",
  "taxonomy_note": "An interception and fine for illegal fishing protect a fishery; no ecological gain is measured and no enforcement type exists.",
  "registry_ids": {},
  "ratings": [
    {
      "group": "personal",
      "depth": null,
      "reason": "No individual beneficiary is identified."
    },
    {
      "group": "organizational",
      "depth": 2,
      "reason": "The PNA intercepted the vessel within hours and, per Skylight, issued its first international electronic fine with the fine and costs paid. The independent report confirms the interception and administrative proceedings."
    },
    {
      "group": "societal",
      "depth": 1,
      "reason": "One vessel among hundreds operating at the edge of Argentina's EEZ each season; the fishery-level effect is not quantified."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "Skylight's own account describes a two-stage AI contribution. A rule-based Speed Range Event flagged the vessel at under 6 knots inside an area of interest. 40 minutes later a Fishing Event from its machine-learning model, which detects longlining, trawling and squid jigging, reinforced the suspicion. PNA analysts then redirected a coastguard vessel. A retired PNA captain is quoted saying Skylight contributed directly to the decision. This is the maker's account, with the deployer's officers quoted inside it. The independent report (Agenda Malvinas, citing Pescare and official information) attributes the detection to the PNA's Sistema Guardacostas and does not name Skylight or AI. So the attribution to the AI output is not independently confirmed. The PNA release Skylight links to is not among the sources."
  },
  "evidence": [
    {
      "kind": "news report",
      "citation": "Agenda Malvinas (2025). Prefectura detectó un buque asiático pescando ilegalmente en aguas argentinas. 8 January 2025 (source line: Pescare).",
      "title": "Prefectura detectó un buque asiático pescando ilegalmente en aguas argentinas",
      "url": "https://agendamalvinas.com.ar/noticia/prefectura-detecto-un-buque-asiatico-pescando-ilegalmente-en-aguas-argentinas",
      "date": "2025-01-08",
      "written_by": "independent",
      "quote": "la Prefectura Naval Argentina detectó este domingo 5 de enero, al buque pesquero XinRun 579, de bandera de Vanuatu, realizando pesca ilegal en la Zona Económica Exclusiva Argentina"
    },
    {
      "kind": "news report",
      "citation": "Agenda Malvinas (2025). Same article, detection and interception sentences.",
      "title": "Prefectura detectó un buque asiático pescando ilegalmente (interception)",
      "url": "https://agendamalvinas.com.ar/noticia/prefectura-detecto-un-buque-asiatico-pescando-ilegalmente-en-aguas-argentinas",
      "date": "2025-01-08",
      "written_by": "independent",
      "quote": "Tras la intercepción del Guardacostas GC-25 Azopardo, se notificó formalmente al capitán del XinRun 579 sobre la infracción"
    },
    {
      "kind": "press release",
      "citation": "Skylight (2025). Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing. skylight.global, 31 March 2025 (maker's account).",
      "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing",
      "url": "https://www.skylight.global/news/argentina-success-story",
      "date": "2025-03-31",
      "written_by": "makers",
      "quote": "Just 40 minutes later, a Fishing Event alert provided additional intelligence, reinforcing suspicions that the vessel could be engaged in illegal fishing activity."
    },
    {
      "kind": "press release",
      "citation": "Skylight (2025). Same article, description of the detection stages.",
      "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing (machine-learning model)",
      "url": "https://www.skylight.global/news/argentina-success-story",
      "date": "2025-03-31",
      "written_by": "makers",
      "quote": "then by a machine learning model that detects several types of fishing behavior like long lining, trawling, and squid jigging"
    },
    {
      "kind": "press release",
      "citation": "Skylight (2025). Same article, quotation attributed to Retired Captain Almada, Coordinator of EICEMAR, Prefectura Naval Argentina.",
      "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing (PNA quotation)",
      "url": "https://www.skylight.global/news/argentina-success-story",
      "date": "2025-03-31",
      "written_by": "makers",
      "quote": "Skylight contributed directly to the Coast Guard's decision-making by delivering immediate and reliable insights."
    },
    {
      "kind": "press release",
      "citation": "Skylight (2025). Same article, outcome sentence.",
      "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing (fine)",
      "url": "https://www.skylight.global/news/argentina-success-story",
      "date": "2025-03-31",
      "written_by": "makers",
      "quote": "The case led to Argentina’s first international electronic fine using AI-powered evidence."
    },
    {
      "kind": "press release",
      "citation": "Wolfberg, E. (2025). AI Model Offers Conservationists New Tools to Protect Fisheries, Wildlife at Scale. NVIDIA Developer blog, 3 March 2025 (technology-partner blog, not the system's maker).",
      "title": "AI Model Offers Conservationists New Tools to Protect Fisheries, Wildlife at Scale",
      "url": "https://developer.nvidia.com/blog/ai-model-offers-conservationists-new-tools-to-protect-fisheries-wildlife-at-scale/",
      "date": "2025-03-03",
      "written_by": "independent",
      "quote": "Argentina's Coast Guard interdicted—and later fined—a vessel illegally fishing in its exclusive economic zone after Skylight alerted it to the vessel's suspicious behavior"
    },
    {
      "kind": "press release",
      "citation": "Skylight (2026). Year in Review: Skylight Opens to the Public, Introduces Shippy, and Helps Partners Act at Sea (Impact Report June 2025-May 2026).",
      "title": "Skylight Impact Report 2025-2026",
      "url": "https://www.skylight.global/news/impact-report-2025-2026",
      "date": null,
      "written_by": "makers",
      "quote": "Skylight surfaces signals. The inspections, fines, and decisions belong to the agencies that made them."
    }
  ],
  "replication": {
    "produced_by": [
      "A vessel transmitting AIS inside a monitored area of interest",
      "A speed-range rule tuned to the local legal definition of trawling speed",
      "A machine-learning fishing-behavior model producing a second alert within 40 minutes",
      "PNA analysts integrating Skylight with the Sistema Guardacostas and a coastguard vessel within reach"
    ],
    "must_hold": [
      "AIS transmissions not switched off or spoofed",
      "A patrol asset close enough to intercept before the vessel leaves the EEZ",
      "A legal route to sanction (Law 24.922 and the electronic fine procedure)",
      "Analyst confirmation of each alert before dispatch"
    ],
    "echoes": [
      {
        "date": null,
        "setting": "Gabon, ANPN marine parks: Skylight alert on GUO JI 838 entering a restricted MPA led to a patrol being sent; no outcome stated (Skylight's account, undated)",
        "model_version": null,
        "outcome": "unknown",
        "source": "https://www.skylight.global/news/stories-from-the-field-protecting-the-biggest-marine-national-park-system-in-africa"
      },
      {
        "date": null,
        "setting": "Skylight impact report June 2025-May 2026: aggregated partner results of 21+ vessels interdicted and fines issued, US$915,000+ in fines, without case-level attribution (maker's figures)",
        "model_version": null,
        "outcome": "recurred",
        "source": "https://www.skylight.global/news/impact-report-2025-2026"
      }
    ]
  },
  "paired_incident": null,
  "headline": "Skylight alerts may have led PNA to intercept XINRUN 579",
  "metric": null,
  "comparator": {
    "against": "PNA's capability before Skylight's real-time fishing detection",
    "before": null,
    "after": "a Speed Range Event alert, then a Fishing Event alert 40 minutes later",
    "basis": "assumed",
    "quote": "This kind of swift and decisive assistance wouldn't have been possible just a few months ago, before Skylight’s latest advancements in real-time fishing detection.",
    "url": "https://www.skylight.global/news/argentina-success-story"
  },
  "later": {
    "status": "litigated",
    "date": "2025-03-31",
    "note": "The administrative proceeding ended with the vessel paying the fine and the authorities' operational costs, as Skylight reported on 31 March 2025 (the payment date itself is not given; NVIDIA's 3 March 2025 blog already said the vessel was later fined).",
    "quote": "The vessel paid both the fine and the operational costs incurred by authorities–underscoring how smarter, faster detection is helping enforcement teams respond quickly and build stronger, more actionable cases against those who exploit the ocean.",
    "url": "https://www.skylight.global/news/argentina-success-story"
  },
  "value": null,
  "developer_country": "United States",
  "deployer_country": "Argentina",
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
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    {
      "date": "2026-10-21",
      "change": "Headline reworded to state the event without naming who claims it.",
      "source": null,
      "editor": "AIBD"
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      "date": "2026-10-21",
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      "editor": "AIBD"
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      "date": "2026-10-21",
      "change": "Added what the benefit is measured against, what happened since, the model version from the cited sources.",
      "source": "https://www.skylight.global/news/argentina-success-story; https://www.skylight.global/news/argentina-success-story; https://developer.nvidia.com/blog/ai-model-offers-conservationists-new-tools-to-protect-fisheries-wildlife-at-scale/",
      "editor": "AIBD"
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      "source": "https://allenai.org/about; https://en.wikipedia.org/wiki/Argentine_Naval_Prefecture",
      "editor": "AIBD"
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      "source": null,
      "editor": "AIBD"
    }
  ],
  "confidence": "reported",
  "shade": "medium",
  "claim_status": "Independently reported",
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          "answer": "The attribution to Skylight comes from its developer’s account, which quotes coast guard officers. Independent reporting names the coast guard’s own system and does not establish Skylight’s contribution.",
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            "account": "On Sunday 5 January 2025 the Prefectura Naval Argentina (PNA) detected the Vanuatu-flagged trawler XinRun 579. It was in Argentina's exclusive economic zone off Caleta Olivia, Santa Cruz, sailing at under 6 knots. Local rules treat that as indicating trawling. Coastguard vessel GC-25 Azopardo intercepted it. The captain was formally notified of an infraction under Law 24.922, opening administrative proceedings (Agenda Malvinas, 8 January 2025, citing official information). Skylight, the free AI maritime-monitoring platform of the Allen Institute for AI, published its own account on 31 March 2025. A rule-based Speed Range Event first alerted the authorities. A Fishing Event alert from its machine-learning model came 40 minutes later. PNA analysts redirected a nearby coastguard vessel. It led to Argentina's first international electronic fine using AI-powered evidence, with the fine and operational costs paid. It quotes the EICEMAR coordinator and the PNA GIS division lead crediting Skylight. The independent news report attributes the detection to the PNA's Sistema Guardacostas and does not mention Skylight or AI. The PNA release Skylight links to is not found live or in the Internet Archive. An NVIDIA Developer blog (3 March 2025) also reports the interdiction and fine.",
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              },
              {
                "group": "societal",
                "depth": 1,
                "reason": "One vessel among hundreds operating at the edge of Argentina's EEZ each season; the fishery-level effect is not quantified."
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                "source": "https://www.skylight.global/news/argentina-success-story; https://www.skylight.global/news/argentina-success-story; https://developer.nvidia.com/blog/ai-model-offers-conservationists-new-tools-to-protect-fisheries-wildlife-at-scale/",
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              ],
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                  "setting": "Gabon, ANPN marine parks: Skylight alert on GUO JI 838 entering a restricted MPA led to a patrol being sent; no outcome stated (Skylight's account, undated)",
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                  "source": "https://www.skylight.global/news/stories-from-the-field-protecting-the-biggest-marine-national-park-system-in-africa"
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                  "setting": "Skylight impact report June 2025-May 2026: aggregated partner results of 21+ vessels interdicted and fines issued, US$915,000+ in fines, without case-level attribution (maker's figures)",
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                  "source": "https://www.skylight.global/news/impact-report-2025-2026"
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              ]
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                "kind": "news report",
                "citation": "Agenda Malvinas (2025). Prefectura detectó un buque asiático pescando ilegalmente en aguas argentinas. 8 January 2025 (source line: Pescare).",
                "title": "Prefectura detectó un buque asiático pescando ilegalmente en aguas argentinas",
                "url": "https://agendamalvinas.com.ar/noticia/prefectura-detecto-un-buque-asiatico-pescando-ilegalmente-en-aguas-argentinas",
                "date": "2025-01-08",
                "written_by": "independent",
                "quote": "la Prefectura Naval Argentina detectó este domingo 5 de enero, al buque pesquero XinRun 579, de bandera de Vanuatu, realizando pesca ilegal en la Zona Económica Exclusiva Argentina"
              },
              {
                "kind": "news report",
                "citation": "Agenda Malvinas (2025). Same article, detection and interception sentences.",
                "title": "Prefectura detectó un buque asiático pescando ilegalmente (interception)",
                "url": "https://agendamalvinas.com.ar/noticia/prefectura-detecto-un-buque-asiatico-pescando-ilegalmente-en-aguas-argentinas",
                "date": "2025-01-08",
                "written_by": "independent",
                "quote": "Tras la intercepción del Guardacostas GC-25 Azopardo, se notificó formalmente al capitán del XinRun 579 sobre la infracción"
              },
              {
                "kind": "press release",
                "citation": "Skylight (2025). Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing. skylight.global, 31 March 2025 (maker's account).",
                "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing",
                "url": "https://www.skylight.global/news/argentina-success-story",
                "date": "2025-03-31",
                "written_by": "makers",
                "quote": "Just 40 minutes later, a Fishing Event alert provided additional intelligence, reinforcing suspicions that the vessel could be engaged in illegal fishing activity."
              },
              {
                "kind": "press release",
                "citation": "Skylight (2025). Same article, description of the detection stages.",
                "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing (machine-learning model)",
                "url": "https://www.skylight.global/news/argentina-success-story",
                "date": "2025-03-31",
                "written_by": "makers",
                "quote": "then by a machine learning model that detects several types of fishing behavior like long lining, trawling, and squid jigging"
              },
              {
                "kind": "press release",
                "citation": "Skylight (2025). Same article, quotation attributed to Retired Captain Almada, Coordinator of EICEMAR, Prefectura Naval Argentina.",
                "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing (PNA quotation)",
                "url": "https://www.skylight.global/news/argentina-success-story",
                "date": "2025-03-31",
                "written_by": "makers",
                "quote": "Skylight contributed directly to the Coast Guard's decision-making by delivering immediate and reliable insights."
              },
              {
                "kind": "press release",
                "citation": "Skylight (2025). Same article, outcome sentence.",
                "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing (fine)",
                "url": "https://www.skylight.global/news/argentina-success-story",
                "date": "2025-03-31",
                "written_by": "makers",
                "quote": "The case led to Argentina’s first international electronic fine using AI-powered evidence."
              },
              {
                "kind": "press release",
                "citation": "Wolfberg, E. (2025). AI Model Offers Conservationists New Tools to Protect Fisheries, Wildlife at Scale. NVIDIA Developer blog, 3 March 2025 (technology-partner blog, not the system's maker).",
                "title": "AI Model Offers Conservationists New Tools to Protect Fisheries, Wildlife at Scale",
                "url": "https://developer.nvidia.com/blog/ai-model-offers-conservationists-new-tools-to-protect-fisheries-wildlife-at-scale/",
                "date": "2025-03-03",
                "written_by": "independent",
                "quote": "Argentina's Coast Guard interdicted—and later fined—a vessel illegally fishing in its exclusive economic zone after Skylight alerted it to the vessel's suspicious behavior"
              },
              {
                "kind": "press release",
                "citation": "Skylight (2026). Year in Review: Skylight Opens to the Public, Introduces Shippy, and Helps Partners Act at Sea (Impact Report June 2025-May 2026).",
                "title": "Skylight Impact Report 2025-2026",
                "url": "https://www.skylight.global/news/impact-report-2025-2026",
                "written_by": "makers",
                "quote": "Skylight surfaces signals. The inspections, fines, and decisions belong to the agencies that made them."
              }
            ]
          }
        },
        "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-0350-source-0001",
            "AIBD-0350-source-0002",
            "AIBD-0350-source-0003",
            "AIBD-0350-source-0004",
            "AIBD-0350-source-0005",
            "AIBD-0350-source-0006",
            "AIBD-0350-source-0007",
            "AIBD-0350-source-0008"
          ],
          "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": "Agenda Malvinas (2025). Prefectura detectó un buque asiático pescando ilegalmente en aguas argentinas. 8 January 2025 (source line: Pescare).",
                "title": "Prefectura detectó un buque asiático pescando ilegalmente en aguas argentinas",
                "url": "https://agendamalvinas.com.ar/noticia/prefectura-detecto-un-buque-asiatico-pescando-ilegalmente-en-aguas-argentinas",
                "date": "2025-01-08",
                "written_by": "independent",
                "quote": "la Prefectura Naval Argentina detectó este domingo 5 de enero, al buque pesquero XinRun 579, de bandera de Vanuatu, realizando pesca ilegal en la Zona Económica Exclusiva Argentina"
              },
              {
                "kind": "news report",
                "citation": "Agenda Malvinas (2025). Same article, detection and interception sentences.",
                "title": "Prefectura detectó un buque asiático pescando ilegalmente (interception)",
                "url": "https://agendamalvinas.com.ar/noticia/prefectura-detecto-un-buque-asiatico-pescando-ilegalmente-en-aguas-argentinas",
                "date": "2025-01-08",
                "written_by": "independent",
                "quote": "Tras la intercepción del Guardacostas GC-25 Azopardo, se notificó formalmente al capitán del XinRun 579 sobre la infracción"
              },
              {
                "kind": "press release",
                "citation": "Skylight (2025). Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing. skylight.global, 31 March 2025 (maker's account).",
                "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing",
                "url": "https://www.skylight.global/news/argentina-success-story",
                "date": "2025-03-31",
                "written_by": "makers",
                "quote": "Just 40 minutes later, a Fishing Event alert provided additional intelligence, reinforcing suspicions that the vessel could be engaged in illegal fishing activity."
              },
              {
                "kind": "press release",
                "citation": "Skylight (2025). Same article, description of the detection stages.",
                "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing (machine-learning model)",
                "url": "https://www.skylight.global/news/argentina-success-story",
                "date": "2025-03-31",
                "written_by": "makers",
                "quote": "then by a machine learning model that detects several types of fishing behavior like long lining, trawling, and squid jigging"
              },
              {
                "kind": "press release",
                "citation": "Skylight (2025). Same article, quotation attributed to Retired Captain Almada, Coordinator of EICEMAR, Prefectura Naval Argentina.",
                "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing (PNA quotation)",
                "url": "https://www.skylight.global/news/argentina-success-story",
                "date": "2025-03-31",
                "written_by": "makers",
                "quote": "Skylight contributed directly to the Coast Guard's decision-making by delivering immediate and reliable insights."
              },
              {
                "kind": "press release",
                "citation": "Skylight (2025). Same article, outcome sentence.",
                "title": "Real-Time Intelligence Powers Argentina's Fight Against Illegal Fishing (fine)",
                "url": "https://www.skylight.global/news/argentina-success-story",
                "date": "2025-03-31",
                "written_by": "makers",
                "quote": "The case led to Argentina’s first international electronic fine using AI-powered evidence."
              },
              {
                "kind": "press release",
                "citation": "Wolfberg, E. (2025). AI Model Offers Conservationists New Tools to Protect Fisheries, Wildlife at Scale. NVIDIA Developer blog, 3 March 2025 (technology-partner blog, not the system's maker).",
                "title": "AI Model Offers Conservationists New Tools to Protect Fisheries, Wildlife at Scale",
                "url": "https://developer.nvidia.com/blog/ai-model-offers-conservationists-new-tools-to-protect-fisheries-wildlife-at-scale/",
                "date": "2025-03-03",
                "written_by": "independent",
                "quote": "Argentina's Coast Guard interdicted—and later fined—a vessel illegally fishing in its exclusive economic zone after Skylight alerted it to the vessel's suspicious behavior"
              },
              {
                "kind": "press release",
                "citation": "Skylight (2026). Year in Review: Skylight Opens to the Public, Introduces Shippy, and Helps Partners Act at Sea (Impact Report June 2025-May 2026).",
                "title": "Skylight Impact Report 2025-2026",
                "url": "https://www.skylight.global/news/impact-report-2025-2026",
                "written_by": "makers",
                "quote": "Skylight surfaces signals. The inspections, fines, and decisions belong to the agencies that made them."
              }
            ]
          }
        },
        "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": "PNA intercepted XINRUN 579 fishing illegally in Argentina's EEZ on 5 January 2025; Skylight says its speed-range and ML fishing alerts prompted the response and a first electronic fine was paid.",
            "account": "On Sunday 5 January 2025 the Prefectura Naval Argentina (PNA) detected the Vanuatu-flagged trawler XinRun 579. It was in Argentina's exclusive economic zone off Caleta Olivia, Santa Cruz, sailing at under 6 knots. Local rules treat that as indicating trawling. Coastguard vessel GC-25 Azopardo intercepted it. The captain was formally notified of an infraction under Law 24.922, opening administrative proceedings (Agenda Malvinas, 8 January 2025, citing official information). Skylight, the free AI maritime-monitoring platform of the Allen Institute for AI, published its own account on 31 March 2025. A rule-based Speed Range Event first alerted the authorities. A Fishing Event alert from its machine-learning model came 40 minutes later. PNA analysts redirected a nearby coastguard vessel. It led to Argentina's first international electronic fine using AI-powered evidence, with the fine and operational costs paid. It quotes the EICEMAR coordinator and the PNA GIS division lead crediting Skylight. The independent news report attributes the detection to the PNA's Sistema Guardacostas and does not mention Skylight or AI. The PNA release Skylight links to is not found live or in the Internet Archive. An NVIDIA Developer blog (3 March 2025) also reports the interdiction and fine."
          }
        },
        "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": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "model_version": "Atlantes"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "model_version"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial",
        "display": {
          "answer": "Exact release not established.",
          "editor_note": ""
        }
      },
      "systems[].product_name": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "system": "Skylight maritime-monitoring platform (Speed Range Event rule and machine-learning Fishing Event detection)"
          }
        },
        "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": "Allen Institute for AI (Ai2), Skylight"
          }
        },
        "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": "Skylight speed-range and machine-learning fishing alerts may have led Argentina's Prefectura Naval to intercept the Vanuatu-flagged XINRUN 579 on 5 January 2025, and a fine may have been paid",
            "headline": "Skylight alerts may have led PNA to intercept XINRUN 579"
          }
        },
        "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": [
            "30e9f88a9087fef78c19cfc9c9322d9ab4b3a849e0f3dd14333df59dc2954154"
          ],
          "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 Sunday 5 January 2025 the Prefectura Naval Argentina (PNA) detected the Vanuatu-flagged trawler XinRun 579. It was in Argentina's exclusive economic zone off Caleta Olivia, Santa Cruz, sailing at under 6 knots. Local rules treat that as indicating trawling. Coastguard vessel GC-25 Azopardo intercepted it. The captain was formally notified of an infraction under Law 24.922, opening administrative proceedings (Agenda Malvinas, 8 January 2025, citing official information). Skylight, the free AI maritime-monitoring platform of the Allen Institute for AI, published its own account on 31 March 2025. A rule-based Speed Range Event first alerted the authorities. A Fishing Event alert from its machine-learning model came 40 minutes later. PNA analysts redirected a nearby coastguard vessel. It led to Argentina's first international electronic fine using AI-powered evidence, with the fine and operational costs paid. It quotes the EICEMAR coordinator and the PNA GIS division lead crediting Skylight. The independent news report attributes the detection to the PNA's Sistema Guardacostas and does not mention Skylight or AI. The PNA release Skylight links to is not found live or in the Internet Archive. An NVIDIA Developer blog (3 March 2025) also reports the interdiction and fine.",
            "replication": {
              "produced_by": [
                "A vessel transmitting AIS inside a monitored area of interest",
                "A speed-range rule tuned to the local legal definition of trawling speed",
                "A machine-learning fishing-behavior model producing a second alert within 40 minutes",
                "PNA analysts integrating Skylight with the Sistema Guardacostas and a coastguard vessel within reach"
              ],
              "must_hold": [
                "AIS transmissions not switched off or spoofed",
                "A patrol asset close enough to intercept before the vessel leaves the EEZ",
                "A legal route to sanction (Law 24.922 and the electronic fine procedure)",
                "Analyst confirmation of each alert before dispatch"
              ],
              "echoes": [
                {
                  "setting": "Gabon, ANPN marine parks: Skylight alert on GUO JI 838 entering a restricted MPA led to a patrol being sent; no outcome stated (Skylight's account, undated)",
                  "outcome": "unknown",
                  "source": "https://www.skylight.global/news/stories-from-the-field-protecting-the-biggest-marine-national-park-system-in-africa"
                },
                {
                  "setting": "Skylight impact report June 2025-May 2026: aggregated partner results of 21+ vessels interdicted and fines issued, US$915,000+ in fines, without case-level attribution (maker's figures)",
                  "outcome": "recurred",
                  "source": "https://www.skylight.global/news/impact-report-2025-2026"
                }
              ]
            }
          }
        },
        "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": 31,
      "reviewed": 0,
      "record_mapped": 31,
      "not_assessed": 60,
      "complete": false,
      "by_state": {
        "value_present": 31,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 60,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}
