{
  "id": "AIBD-0161",
  "title": "Pano AI cameras on Xcel and CORE Electric towers spot the Bear Creek Fire; helicopters hold it to three acres",
  "summary": "Utility-funded Pano AI cameras detected smoke from the 16 June 2024 Bear Creek Fire in Douglas County, Colorado; helicopters were dispatched within 30 minutes and the fire was held to three acres.",
  "date_observed": "2024-06-16",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "On 16 June 2024 Pano AI wildfire-detection cameras on Xcel Energy and CORE Electric Cooperative towers detected smoke. It came from a lightning-caused fire in Douglas County, Colorado. According to Renewable Energy World (18 July 2024), emergency services dispatched two helicopters within 30 minutes of the identification, when the fire was 0.25 acres. The helicopters dropped 17,765 gallons of water over six hours and the fire was limited to three acres. Denver7 (17 July 2024) reported that the fire was contained within a day and was first spotted by the AI-equipped cameras. CORE's wildfire mitigation manager Jordan Ambrogi said alerts typically arrive 10 to 12 minutes after smoke is detected. The utilities, however, said the cameras identified the fire “simultaneously” with the U.S. Forest Service. So the cameras' independent contribution to containment rests on the operators' own statements (CORE interim CEO Pam Feuerstein). The OECD AI Incidents Monitor carries a separate positively framed record of Xcel's November 2023 Pano AI deployment.",
  "category": "protective response",
  "unexpected": false,
  "purpose": "Pano AI cameras rotate 360 degrees on mountaintop towers and use AI to detect smoke plumes. They alert utilities and fire agencies with a triangulated location. Detecting this fire early was the intended use.",
  "system": "Pano AI wildfire detection cameras (Pano Rapid Detect)",
  "model_version": null,
  "developer": "Pano AI",
  "deployer": "Xcel Energy and CORE Electric Cooperative",
  "location": "Douglas County, Colorado, United States",
  "domain": "Energy and infrastructure",
  "segment": "Electric utility wildfire mitigation",
  "benefit_type": "Reduced Risk",
  "taxonomy_note": "Fire spread averted is read as reduced potential for harm; Trustible's description stresses legal harm.",
  "registry_ids": {},
  "ratings": [
    {
      "group": "societal",
      "depth": 2,
      "reason": "The fire was held to three acres after helicopters were dispatched within 30 minutes. CORE's CEO called the detection and location “crucial”. Simultaneous Forest Service identification limits what can be attributed to the cameras."
    },
    {
      "group": "organizational",
      "depth": 2,
      "reason": "CORE Electric and Xcel Energy obtained a fast, located alert supporting their wildfire mitigation strategy. Denver7 quotes CORE's Jordan Ambrogi saying alerts typically beat 911 calls."
    },
    {
      "group": "personal",
      "depth": null,
      "reason": "No individual beneficiary is documented in the sources."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "The AI smoke detection produced the alert and location that the utilities and Denver7 describe. The sources are independent news reports quoting operator staff, not an official filing. The operators themselves say the Forest Service identified the fire simultaneously. So the counterfactual contribution of the AI to the three-acre outcome is unverified."
  },
  "evidence": [
    {
      "kind": "news report",
      "citation": "Colette Bordelon, 'Douglas County wildfire first detected by cameras equipped with AI', Denver7, 17 July 2024",
      "title": "Douglas County wildfire first detected by cameras equipped with AI",
      "url": "https://www.denver7.com/news/wildfire/douglas-county-wildfire-first-detected-by-cameras-equipped-with-ai",
      "date": "2024-07-17",
      "written_by": "independent",
      "quote": "The Bear Creek Fire in Douglas County, which was contained within a day, was first spotted by cameras equipped with artificial intelligence (AI)."
    },
    {
      "kind": "news report",
      "citation": "John Engel, 'AI cameras prevented large wildfire, utilities say', Renewable Energy World / Factor This, 18 July 2024",
      "title": "AI cameras prevented large wildfire, utilities say",
      "url": "https://www.renewableenergyworld.com/power-grid/outage-management/ai-cameras-prevented-large-wildfire-utilities-say/",
      "date": "2024-07-18",
      "written_by": "independent",
      "quote": "Within 30 minutes of the identification, emergency services dispatched two helicopters to the fire when it was .25 acres."
    },
    {
      "kind": "news report",
      "citation": "John Engel, Renewable Energy World, 18 July 2024 (operator attribution)",
      "title": "AI cameras prevented large wildfire, utilities say",
      "url": "https://www.renewableenergyworld.com/power-grid/outage-management/ai-cameras-prevented-large-wildfire-utilities-say/",
      "date": "2024-07-18",
      "written_by": "independent",
      "quote": "The utilities said their wildfire camera system, provided by Pano AI, identified the wildfire “simultaneously” with the U.S. Forest Service."
    },
    {
      "kind": "registry label",
      "citation": "OECD AI Incidents Monitor, record 2023-11-07-64f3, 'Xcel Energy Deploys AI-Powered Cameras for Early Wildfire Detection in Colorado'",
      "title": "Xcel Energy Deploys AI-Powered Cameras for Early Wildfire Detection in Colorado",
      "url": "https://oecd.ai/en/incidents/2023-11-07-64f3",
      "date": "2023-11-07",
      "written_by": "independent",
      "quote": "Xcel Energy, in partnership with Pano AI, is expanding the use of AI-driven wildfire detection cameras across Colorado."
    },
    {
      "kind": "news report",
      "citation": "Wilson, S. (2024). AI-powered, fire-spotting cameras dispatch firefighters to Colorado wildfire. CBS Colorado, 9 July 2024.",
      "title": "AI-powered, fire-spotting cameras dispatch firefighters to Colorado wildfire",
      "url": "https://www.cbsnews.com/colorado/news/ai-powered-fire-spotting-cameras-dispatch-firefighters-wildfire/",
      "date": "2024-07-09",
      "written_by": "independent",
      "quote": null
    }
  ],
  "replication": {
    "produced_by": [
      "Camera stations with 360-degree views sited on cell towers within roughly 10 miles of the ignition",
      "Alert routing to both the utility and local fire agencies with a triangulated location",
      "Lightning-caused ignition in daylight in a remote area, with aerial resources available for dispatch"
    ],
    "must_hold": [
      "Camera coverage of the ignition point and functioning AI smoke detection",
      "An agency able to act on the alert within minutes",
      "Independent confirmation of who detected the fire first, since the utilities report simultaneous Forest Service identification"
    ],
    "echoes": [
      {
        "date": "2024-07-09",
        "setting": "Wellington fire near Breckenridge, Summit County, Colorado; Xcel-funded Pano AI camera",
        "model_version": null,
        "outcome": "recurred",
        "source": "https://www.cbsnews.com/colorado/news/ai-powered-fire-spotting-cameras-dispatch-firefighters-wildfire/"
      },
      {
        "date": "2024-08-29",
        "setting": "Austin Energy full deployment of 13 Pano AI cameras, Texas; no detection reported",
        "model_version": null,
        "outcome": "unknown",
        "source": "https://austinenergy.com/about/news/news-releases/2024/Austin-Energy-announces-full-deployment-of-AI-driven-Early-Wildfire-Detection-System"
      }
    ]
  },
  "paired_incident": null,
  "headline": "Pano AI cameras spot the Bear Creek Fire; held to three acres",
  "metric": "helicopters were dispatched within 30 minutes and the fire was held to three acres",
  "comparator": {
    "against": "members of the public calling 911",
    "before": "anyone else calling 911",
    "after": "within 10 minutes of detecting smoke, 10 to 12 minutes",
    "basis": "assumed",
    "quote": "Typically, it's within 10 minutes of detecting smoke, 10 to 12 minutes. Depending on where it is, how remote an area, it'll beat anyone else calling 911.",
    "url": "https://www.denver7.com/news/wildfire/douglas-county-wildfire-first-detected-by-cameras-equipped-with-ai"
  },
  "later": {
    "status": "persisted",
    "date": "2024-07-09",
    "note": "Three weeks later an Xcel-funded Pano AI camera caught the Wellington fire near Breckenridge, which firefighters held to one-eighth of an acre.",
    "quote": "While that has resulted in a few false alarms in Summit County, this was the first instance where a wildfire was caught early, and kept to only one-eighth of an acre, firefighters said, thanks to the camera's early notice.",
    "url": "https://www.cbsnews.com/colorado/news/ai-powered-fire-spotting-cameras-dispatch-firefighters-wildfire/"
  },
  "value": null,
  "developer_country": "United States",
  "deployer_country": "United States",
  "unrated_because": null,
  "brief_notes": null,
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  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "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": "Added what the benefit is measured against, what happened since from the cited sources.",
      "source": "https://www.denver7.com/news/wildfire/douglas-county-wildfire-first-detected-by-cameras-equipped-with-ai; https://www.cbsnews.com/colorado/news/ai-powered-fire-spotting-cameras-dispatch-firefighters-wildfire/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the developer added from the organization's own site or a registry.",
      "source": "https://www.pbs.org/newshour/show/how-satellites-and-ai-cameras-are-detecting-wildfires-before-they-get-out-of-control",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the deployer added from the organization's own site or a registry.",
      "source": "https://en.wikipedia.org/wiki/Xcel_Energy",
      "editor": "AIBD"
    },
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  ],
  "confidence": "reported",
  "shade": "medium",
  "claim_status": "Independently reported",
  "claim_basis": "Sources: three independent news reports and a registry entry. The cited evidence includes no independent study or report and no finding by a regulator or court.",
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      "strategic_assessments[]": {
        "state": "not_assessed",
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      "summary": {
        "state": "value_present",
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            "summary": "Utility-funded Pano AI cameras detected smoke from the 16 June 2024 Bear Creek Fire in Douglas County, Colorado; helicopters were dispatched within 30 minutes and the fire was held to three acres.",
            "account": "On 16 June 2024 Pano AI wildfire-detection cameras on Xcel Energy and CORE Electric Cooperative towers detected smoke. It came from a lightning-caused fire in Douglas County, Colorado. According to Renewable Energy World (18 July 2024), emergency services dispatched two helicopters within 30 minutes of the identification, when the fire was 0.25 acres. The helicopters dropped 17,765 gallons of water over six hours and the fire was limited to three acres. Denver7 (17 July 2024) reported that the fire was contained within a day and was first spotted by the AI-equipped cameras. CORE's wildfire mitigation manager Jordan Ambrogi said alerts typically arrive 10 to 12 minutes after smoke is detected. The utilities, however, said the cameras identified the fire “simultaneously” with the U.S. Forest Service. So the cameras' independent contribution to containment rests on the operators' own statements (CORE interim CEO Pam Feuerstein). The OECD AI Incidents Monitor carries a separate positively framed record of Xcel's November 2023 Pano AI deployment."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
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          "source_refs": []
        },
        "review_state": "record_mapped",
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      },
      "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": "Pano AI wildfire detection cameras (Pano Rapid Detect)"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].provider": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "application_developer": "Pano AI"
          }
        },
        "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": "Pano AI cameras on Xcel and CORE Electric towers spot the Bear Creek Fire; helicopters hold it to three acres",
            "headline": "Pano AI cameras spot the Bear Creek Fire; held to three acres"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "title",
            "headline"
          ],
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        },
        "review_state": "record_mapped",
        "coverage": "partial"
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      "version": {
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        "value": {
          "kind": "identifiers",
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          ],
          "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 16 June 2024 Pano AI wildfire-detection cameras on Xcel Energy and CORE Electric Cooperative towers detected smoke. It came from a lightning-caused fire in Douglas County, Colorado. According to Renewable Energy World (18 July 2024), emergency services dispatched two helicopters within 30 minutes of the identification, when the fire was 0.25 acres. The helicopters dropped 17,765 gallons of water over six hours and the fire was limited to three acres. Denver7 (17 July 2024) reported that the fire was contained within a day and was first spotted by the AI-equipped cameras. CORE's wildfire mitigation manager Jordan Ambrogi said alerts typically arrive 10 to 12 minutes after smoke is detected. The utilities, however, said the cameras identified the fire “simultaneously” with the U.S. Forest Service. So the cameras' independent contribution to containment rests on the operators' own statements (CORE interim CEO Pam Feuerstein). The OECD AI Incidents Monitor carries a separate positively framed record of Xcel's November 2023 Pano AI deployment.",
            "replication": {
              "produced_by": [
                "Camera stations with 360-degree views sited on cell towers within roughly 10 miles of the ignition",
                "Alert routing to both the utility and local fire agencies with a triangulated location",
                "Lightning-caused ignition in daylight in a remote area, with aerial resources available for dispatch"
              ],
              "must_hold": [
                "Camera coverage of the ignition point and functioning AI smoke detection",
                "An agency able to act on the alert within minutes",
                "Independent confirmation of who detected the fire first, since the utilities report simultaneous Forest Service identification"
              ],
              "echoes": [
                {
                  "date": "2024-07-09",
                  "setting": "Wellington fire near Breckenridge, Summit County, Colorado; Xcel-funded Pano AI camera",
                  "outcome": "recurred",
                  "source": "https://www.cbsnews.com/colorado/news/ai-powered-fire-spotting-cameras-dispatch-firefighters-wildfire/"
                },
                {
                  "date": "2024-08-29",
                  "setting": "Austin Energy full deployment of 13 Pano AI cameras, Texas; no detection reported",
                  "outcome": "unknown",
                  "source": "https://austinenergy.com/about/news/news-releases/2024/Austin-Energy-announces-full-deployment-of-AI-driven-Early-Wildfire-Detection-System"
                }
              ]
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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          ],
          "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
      }
    }
  }
}