{
  "id": "AIBD-0245",
  "title": "Tesla on Autopilot stops on the I-75 shoulder at Sarasota with a drunk driver asleep; Florida police charge the 37-year-old with DUI",
  "summary": "Ouest-France (3 May 2026, citing ABC 7): around 2 a.m. on 24 Apr 2026 police found a 37-year-old woman unconscious in her stopped Tesla on Interstate 75; blood alcohol over twice the limit; charged...",
  "date_observed": "2026-04-24",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "Alexandre Chauvel reported in Ouest-France on 3 May 2026, relaying the Sarasota station ABC 7, on a car stopped on Interstate 75. Officers were alerted at about 2 a.m. on Friday 24 April 2026 to a car on the emergency lane at Sarasota, Florida. They found a 37-year-old woman unconscious at the wheel of a Tesla. Local police, quoted without naming the agency or officer, said she should not have been driving. They said her blood alcohol was more than twice the legal limit. They said she had assumed the Tesla would bring her home safely on Autopilot. The article explains that cabin sensors check that the driver is looking ahead and warn them. If the driver does not reopen their eyes after the first warning, the vehicle stops. She was arrested and is being prosecuted for driving under the influence. The Tesla model is not stated. Neither a police report nor the ABC 7 story is among the sources. The OECD AI Incidents Monitor lists the event as a protective response with French-language sources.",
  "category": "protective response",
  "unexpected": false,
  "purpose": "Autopilot's driver-attention monitoring is built to warn an inattentive driver. It brings the car to a stop if the driver does not respond. It is not designed to drive an impaired person home.",
  "system": "Tesla Autopilot with cabin driver-attention monitoring (model not stated)",
  "model_version": null,
  "developer": "Tesla",
  "deployer": "Private owner",
  "location": "Sarasota, United States",
  "domain": "Road vehicle crash avoidance",
  "segment": "Consumer driver assistance / driver monitoring",
  "benefit_type": "Increased Product Safety",
  "taxonomy_note": null,
  "registry_ids": {},
  "ratings": [
    {
      "group": "personal",
      "depth": 2,
      "reason": "An unconscious, intoxicated driver came to a stop without a crash. The sources document no injury and no collision avoided."
    },
    {
      "group": "societal",
      "depth": 1,
      "reason": "Other road users were exposed to a stationary car on the shoulder rather than a moving one. No incident with them is documented."
    },
    {
      "group": "organizational",
      "depth": null,
      "reason": "No organizational outcome is documented."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "Per the report, the attention-monitoring logic issued warnings and then stopped the vehicle on the emergency lane. The agency, the vehicle data and the duration of the stop are not given. The police framed the episode as misuse rather than a rescue."
  },
  "evidence": [
    {
      "kind": "news report",
      "citation": "Chauvel A (3 May 2026). Ivre, elle s'endort dans sa Tesla en mode Autopilot : la voiture s'arrête sur l'autoroute. Ouest-France.",
      "title": "Ivre, elle s’endort dans sa Tesla en mode Autopilot : la voiture s’arrête sur l’autoroute",
      "url": "https://web.archive.org/web/2026/https://www.ouest-france.fr/societe/faits-divers/ivre-elle-sendort-dans-sa-tesla-en-mode-autopilot-la-voiture-sarrete-sur-lautoroute-8519ae64-42eb-11f1-8492-0dabd481308d",
      "date": "2026-05-03",
      "written_by": "independent",
      "quote": "Malheureusement, son alcoolémie était plus de deux fois supérieure à la limite légale et elle a supposé que la Tesla la ramènerait chez elle en toute sécurité"
    },
    {
      "kind": "registry label",
      "citation": "OECD AI Incidents and Hazards Monitor, incident 2026-05-03-516b: Intoxicated Driver Relies on Tesla Autopilot, Car Stops on Florida Highway.",
      "title": "Intoxicated Driver Relies on Tesla Autopilot, Car Stops on Florida Highway",
      "url": "https://oecd.ai/en/incidents/2026-05-03-516b",
      "date": "2026-05-03",
      "written_by": "independent",
      "quote": "She fell asleep, and the AI system eventually stopped the car on the highway after detecting her unresponsiveness."
    }
  ],
  "replication": {
    "produced_by": [
      "Autopilot engaged by an impaired driver on a limited-access highway",
      "Cabin camera attention monitoring with escalating warnings",
      "A stop-in-lane or shoulder-stop fallback when warnings go unanswered"
    ],
    "must_hold": [
      "The driver does not respond to warnings",
      "The road has a shoulder or lane where a stopped car is not struck",
      "Police attend before another vehicle collides with the stationary car"
    ],
    "echoes": [
      {
        "date": "2026-02-19",
        "setting": "Cybertruck owner Rishi Vohra says FSD's driver monitoring detected his blackout on a freeway and pulled the truck onto the shoulder (owner's account via Teslarati)",
        "model_version": null,
        "outcome": "recurred",
        "source": "https://www.teslarati.com/tesla-cybertruck-fsd-saving-life-freeway-medical-emergency/"
      },
      {
        "date": "2025-06-01",
        "setting": "NIO World Model emergency pull-over stopped a sleeping owner's car at 110 km/h on a rainy highway in China and placed an SOS call (owner's video reposted by NIO's founder)",
        "model_version": null,
        "outcome": "recurred",
        "source": "https://news.mydrivers.com/1/1051/1051320.htm"
      }
    ]
  },
  "paired_incident": null,
  "headline": "Tesla Autopilot stops on I-75 shoulder; drunk driver charged",
  "metric": null,
  "comparator": null,
  "later": {
    "status": "unknown",
    "date": null,
    "note": "No development after the 24 April 2026 arrest was found; the ABC 7 original says detectives were still investigating that day.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": "United States",
  "deployer_country": null,
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Increased Product Safety under Trustible's full taxonomy of 23 types; it was Improved Organizational Efficiency among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the developer added from the organization's own site or a registry.",
      "source": "https://en.wikipedia.org/wiki/Tesla,_Inc.",
      "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"
    },
    {
      "date": "2026-10-21",
      "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    }
  ],
  "confidence": "reported",
  "shade": "medium",
  "claim_status": "Independently reported",
  "claim_basis": "Sources: one independent news report and a registry entry. The cited evidence includes no independent study or report and no finding by a regulator or court.",
  "profile": {
    "case_id": "AIBD-0245",
    "catalog_version": "1.0.0",
    "source_fingerprint": "5dc89dc014bbf9b98920f5a4e5698ac635aadd66e26fc9e1c06e961514fcfed6",
    "collection_refs": [
      {
        "collection_id": "aibd",
        "version": "snapshot-8bf7cfec9cb185aa"
      },
      {
        "collection_id": "aibd",
        "version": "2026-10-25"
      },
      {
        "collection_id": "adyt",
        "version": "2026-10-25"
      }
    ],
    "source_ids": [
      "AIBD-0245-source-0001",
      "AIBD-0245-source-0002"
    ],
    "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": "Tesla",
            "deployer": "Private owner"
          }
        },
        "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": "Per the report, the attention-monitoring logic issued warnings and then stopped the vehicle on the emergency lane. The agency, the vehicle data and the duration of the stop are not given. The police framed the episode as misuse rather than a rescue."
            }
          }
        },
        "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": "protective response",
            "ai_role": {
              "status": "assessed",
              "statement": "Per the report, the attention-monitoring logic issued warnings and then stopped the vehicle on the emergency lane. The agency, the vehicle data and the duration of the stop are not given. The police framed the episode as misuse rather than a rescue."
            }
          }
        },
        "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": "An unconscious, intoxicated driver came to a stop without a crash. The sources document no injury and no collision avoided."
              },
              {
                "group": "societal",
                "depth": 1,
                "reason": "Other road users were exposed to a stationary car on the shoulder rather than a moving one. No incident with them is documented."
              },
              {
                "group": "organizational",
                "reason": "No organizational outcome is documented."
              }
            ]
          }
        },
        "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 and a registry entry. 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": "An unconscious, intoxicated driver came to a stop without a crash. The sources document no injury and no collision avoided."
              },
              {
                "group": "societal",
                "depth": 1,
                "reason": "Other road users were exposed to a stationary car on the shoulder rather than a moving one. No incident with them is documented."
              },
              {
                "group": "organizational",
                "reason": "No organizational outcome is documented."
              }
            ]
          }
        },
        "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": "An unconscious, intoxicated driver came to a stop without a crash. The sources document no injury and no collision avoided."
              },
              {
                "group": "societal",
                "depth": 1,
                "reason": "Other road users were exposed to a stationary car on the shoulder rather than a moving one. No incident with them is documented."
              },
              {
                "group": "organizational",
                "reason": "No organizational outcome is documented."
              }
            ]
          }
        },
        "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",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "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": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "follow_up[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "later": {
              "status": "unknown",
              "note": "No development after the 24 April 2026 arrest was found; the ABC 7 original says detectives were still investigating that day."
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "later"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "human_oversight": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "id": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "id": "AIBD-0245"
          }
        },
        "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": "Increased Product Safety"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "benefit_type"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].claim": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "Alexandre Chauvel reported in Ouest-France on 3 May 2026, relaying the Sarasota station ABC 7, on a car stopped on Interstate 75. Officers were alerted at about 2 a.m. on Friday 24 April 2026 to a car on the emergency lane at Sarasota, Florida. They found a 37-year-old woman unconscious at the wheel of a Tesla. Local police, quoted without naming the agency or officer, said she should not have been driving. They said her blood alcohol was more than twice the legal limit. They said she had assumed the Tesla would bring her home safely on Autopilot. The article explains that cabin sensors check that the driver is looking ahead and warn them. If the driver does not reopen their eyes after the first warning, the vehicle stops. She was arrested and is being prosecuted for driving under the influence. The Tesla model is not stated. Neither a police report nor the ABC 7 story is among the sources. The OECD AI Incidents Monitor lists the event as a protective response with French-language sources.",
            "benefit_type": "Increased Product Safety"
          }
        },
        "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": "An unconscious, intoxicated driver came to a stop without a crash. The sources document no injury and no collision avoided."
              },
              {
                "group": "societal",
                "depth": 1,
                "reason": "Other road users were exposed to a stationary car on the shoulder rather than a moving one. No incident with them is documented."
              },
              {
                "group": "organizational",
                "reason": "No organizational outcome is documented."
              }
            ]
          }
        },
        "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": "Autopilot's driver-attention monitoring is built to warn an inattentive driver. It brings the car to a stop if the driver does not respond. It is not designed to drive an impaired person home."
          }
        },
        "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": "Sarasota, United States",
            "developer_country": "United States"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "location",
            "developer_country"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "purpose": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "purpose": "Autopilot's driver-attention monitoring is built to warn an inattentive driver. It brings the car to a stop if the driver does not respond. It is not designed to drive an impaired person home."
          }
        },
        "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": "2026-04-24",
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the cited sources.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Increased Product Safety under Trustible's full taxonomy of 23 types; it was Improved Organizational Efficiency among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/Tesla,_Inc.",
                "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"
              },
              {
                "date": "2026-10-21",
                "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "date_observed",
            "revisions"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "replication.attempts[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "replication": {
              "produced_by": [
                "Autopilot engaged by an impaired driver on a limited-access highway",
                "Cabin camera attention monitoring with escalating warnings",
                "A stop-in-lane or shoulder-stop fallback when warnings go unanswered"
              ],
              "must_hold": [
                "The driver does not respond to warnings",
                "The road has a shoulder or lane where a stopped car is not struck",
                "Police attend before another vehicle collides with the stationary car"
              ],
              "echoes": [
                {
                  "date": "2026-02-19",
                  "setting": "Cybertruck owner Rishi Vohra says FSD's driver monitoring detected his blackout on a freeway and pulled the truck onto the shoulder (owner's account via Teslarati)",
                  "outcome": "recurred",
                  "source": "https://www.teslarati.com/tesla-cybertruck-fsd-saving-life-freeway-medical-emergency/"
                },
                {
                  "date": "2025-06-01",
                  "setting": "NIO World Model emergency pull-over stopped a sleeping owner's car at 110 km/h on a rainy highway in China and placed an SOS call (owner's video reposted by NIO's founder)",
                  "outcome": "recurred",
                  "source": "https://news.mydrivers.com/1/1051/1051320.htm"
                }
              ]
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "replication.conditions": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "replication": {
              "produced_by": [
                "Autopilot engaged by an impaired driver on a limited-access highway",
                "Cabin camera attention monitoring with escalating warnings",
                "A stop-in-lane or shoulder-stop fallback when warnings go unanswered"
              ],
              "must_hold": [
                "The driver does not respond to warnings",
                "The road has a shoulder or lane where a stopped car is not struck",
                "Police attend before another vehicle collides with the stationary car"
              ],
              "echoes": [
                {
                  "date": "2026-02-19",
                  "setting": "Cybertruck owner Rishi Vohra says FSD's driver monitoring detected his blackout on a freeway and pulled the truck onto the shoulder (owner's account via Teslarati)",
                  "outcome": "recurred",
                  "source": "https://www.teslarati.com/tesla-cybertruck-fsd-saving-life-freeway-medical-emergency/"
                },
                {
                  "date": "2025-06-01",
                  "setting": "NIO World Model emergency pull-over stopped a sleeping owner's car at 110 km/h on a rainy highway in China and placed an SOS call (owner's video reposted by NIO's founder)",
                  "outcome": "recurred",
                  "source": "https://news.mydrivers.com/1/1051/1051320.htm"
                }
              ]
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "revision_history[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the cited sources.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Increased Product Safety under Trustible's full taxonomy of 23 types; it was Improved Organizational Efficiency among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/Tesla,_Inc.",
                "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"
              },
              {
                "date": "2026-10-21",
                "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "revisions"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sector": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "domain": "Road vehicle crash avoidance",
            "segment": "Consumer driver assistance / driver monitoring"
          }
        },
        "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": "Chauvel A (3 May 2026). Ivre, elle s'endort dans sa Tesla en mode Autopilot : la voiture s'arrête sur l'autoroute. Ouest-France.",
                "title": "Ivre, elle s’endort dans sa Tesla en mode Autopilot : la voiture s’arrête sur l’autoroute",
                "url": "https://web.archive.org/web/2026/https://www.ouest-france.fr/societe/faits-divers/ivre-elle-sendort-dans-sa-tesla-en-mode-autopilot-la-voiture-sarrete-sur-lautoroute-8519ae64-42eb-11f1-8492-0dabd481308d",
                "date": "2026-05-03",
                "written_by": "independent",
                "quote": "Malheureusement, son alcoolémie était plus de deux fois supérieure à la limite légale et elle a supposé que la Tesla la ramènerait chez elle en toute sécurité"
              },
              {
                "kind": "registry label",
                "citation": "OECD AI Incidents and Hazards Monitor, incident 2026-05-03-516b: Intoxicated Driver Relies on Tesla Autopilot, Car Stops on Florida Highway.",
                "title": "Intoxicated Driver Relies on Tesla Autopilot, Car Stops on Florida Highway",
                "url": "https://oecd.ai/en/incidents/2026-05-03-516b",
                "date": "2026-05-03",
                "written_by": "independent",
                "quote": "She fell asleep, and the AI system eventually stopped the car on the highway after detecting her unresponsiveness."
              }
            ]
          }
        },
        "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-0245-source-0001",
            "AIBD-0245-source-0002"
          ],
          "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": "Chauvel A (3 May 2026). Ivre, elle s'endort dans sa Tesla en mode Autopilot : la voiture s'arrête sur l'autoroute. Ouest-France.",
                "title": "Ivre, elle s’endort dans sa Tesla en mode Autopilot : la voiture s’arrête sur l’autoroute",
                "url": "https://web.archive.org/web/2026/https://www.ouest-france.fr/societe/faits-divers/ivre-elle-sendort-dans-sa-tesla-en-mode-autopilot-la-voiture-sarrete-sur-lautoroute-8519ae64-42eb-11f1-8492-0dabd481308d",
                "date": "2026-05-03",
                "written_by": "independent",
                "quote": "Malheureusement, son alcoolémie était plus de deux fois supérieure à la limite légale et elle a supposé que la Tesla la ramènerait chez elle en toute sécurité"
              },
              {
                "kind": "registry label",
                "citation": "OECD AI Incidents and Hazards Monitor, incident 2026-05-03-516b: Intoxicated Driver Relies on Tesla Autopilot, Car Stops on Florida Highway.",
                "title": "Intoxicated Driver Relies on Tesla Autopilot, Car Stops on Florida Highway",
                "url": "https://oecd.ai/en/incidents/2026-05-03-516b",
                "date": "2026-05-03",
                "written_by": "independent",
                "quote": "She fell asleep, and the AI system eventually stopped the car on the highway after detecting her unresponsiveness."
              }
            ]
          }
        },
        "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": "Ouest-France (3 May 2026, citing ABC 7): around 2 a.m. on 24 Apr 2026 police found a 37-year-old woman unconscious in her stopped Tesla on Interstate 75; blood alcohol over twice the limit; charged...",
            "account": "Alexandre Chauvel reported in Ouest-France on 3 May 2026, relaying the Sarasota station ABC 7, on a car stopped on Interstate 75. Officers were alerted at about 2 a.m. on Friday 24 April 2026 to a car on the emergency lane at Sarasota, Florida. They found a 37-year-old woman unconscious at the wheel of a Tesla. Local police, quoted without naming the agency or officer, said she should not have been driving. They said her blood alcohol was more than twice the legal limit. They said she had assumed the Tesla would bring her home safely on Autopilot. The article explains that cabin sensors check that the driver is looking ahead and warn them. If the driver does not reopen their eyes after the first warning, the vehicle stops. She was arrested and is being prosecuted for driving under the influence. The Tesla model is not stated. Neither a police report nor the ABC 7 story is among the sources. The OECD AI Incidents Monitor lists the event as a protective response with French-language sources."
          }
        },
        "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": "Tesla Autopilot with cabin driver-attention monitoring (model not stated)"
          }
        },
        "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": "Tesla"
          }
        },
        "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": "Tesla on Autopilot stops on the I-75 shoulder at Sarasota with a drunk driver asleep; Florida police charge the 37-year-old with DUI",
            "headline": "Tesla Autopilot stops on I-75 shoulder; drunk driver charged"
          }
        },
        "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": [
            "5dc89dc014bbf9b98920f5a4e5698ac635aadd66e26fc9e1c06e961514fcfed6"
          ],
          "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": "Alexandre Chauvel reported in Ouest-France on 3 May 2026, relaying the Sarasota station ABC 7, on a car stopped on Interstate 75. Officers were alerted at about 2 a.m. on Friday 24 April 2026 to a car on the emergency lane at Sarasota, Florida. They found a 37-year-old woman unconscious at the wheel of a Tesla. Local police, quoted without naming the agency or officer, said she should not have been driving. They said her blood alcohol was more than twice the legal limit. They said she had assumed the Tesla would bring her home safely on Autopilot. The article explains that cabin sensors check that the driver is looking ahead and warn them. If the driver does not reopen their eyes after the first warning, the vehicle stops. She was arrested and is being prosecuted for driving under the influence. The Tesla model is not stated. Neither a police report nor the ABC 7 story is among the sources. The OECD AI Incidents Monitor lists the event as a protective response with French-language sources.",
            "replication": {
              "produced_by": [
                "Autopilot engaged by an impaired driver on a limited-access highway",
                "Cabin camera attention monitoring with escalating warnings",
                "A stop-in-lane or shoulder-stop fallback when warnings go unanswered"
              ],
              "must_hold": [
                "The driver does not respond to warnings",
                "The road has a shoulder or lane where a stopped car is not struck",
                "Police attend before another vehicle collides with the stationary car"
              ],
              "echoes": [
                {
                  "date": "2026-02-19",
                  "setting": "Cybertruck owner Rishi Vohra says FSD's driver monitoring detected his blackout on a freeway and pulled the truck onto the shoulder (owner's account via Teslarati)",
                  "outcome": "recurred",
                  "source": "https://www.teslarati.com/tesla-cybertruck-fsd-saving-life-freeway-medical-emergency/"
                },
                {
                  "date": "2025-06-01",
                  "setting": "NIO World Model emergency pull-over stopped a sleeping owner's car at 110 km/h on a rainy highway in China and placed an SOS call (owner's video reposted by NIO's founder)",
                  "outcome": "recurred",
                  "source": "https://news.mydrivers.com/1/1051/1051320.htm"
                }
              ]
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 29,
      "reviewed": 0,
      "record_mapped": 29,
      "not_assessed": 62,
      "complete": false,
      "by_state": {
        "value_present": 29,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 62,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}