- O*NET-SOC code
- 13-1041.06
Direct activities such as autopsies, pathological and toxicological analyses, and inquests relating to the investigation of deaths occurring within a legal jurisdiction to determine cause of death or to fix responsibility for accidental, violent, or unexplained deaths.
AI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.121
0.000Range of values carried here0.745Group-level value
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
- Data source: ILOPublished: 2025
0.32–0.45· 3 ISCO-08 groups
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
ILO value for each linked ISCO-08 group
- ISCO-08 3351Customs and Border Inspectors0.32
- ISCO-08 3353Government Social Benefits Officials0.45
- ISCO-08 3354Government Licensing Officials0.43
AI exposure (OpenAI rubric)
20 rated tasks · 11 tasks with β ≥ 0.5 (55.0%)
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
- Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
- All rated tasks are in the O*NET 31.0 task list.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
Tasks
Task statements from the O*NET® 31.0 Database, core tasks first.
| Task | Type | β (OpenAI) |
|---|---|---|
| Perform medicolegal examinations and autopsies, conducting preliminary examinations of the body to identify victims, locate signs of trauma, and identify factors that would indicate time of death. | Core | 0 |
| Inquire into the cause, manner, and circumstances of human deaths and establish the identities of deceased persons. | Core | 0.5 |
| Complete death certificates, including the assignment of cause and manner of death. | Core | 0.5 |
| Observe and record the positions and conditions of bodies and related evidence. | Core | 0.5 |
| Collect and document any pertinent medical history information. | Core | 0.5 |
| Observe, record, and preserve any objects or personal property related to deaths, including objects such as medication containers and suicide notes. | Core | 0.5 |
| Complete reports and forms required to finalize cases. | Core | 1 |
| Remove or supervise removal of bodies from death scenes, using the proper equipment and supplies, and arrange for transportation to morgues. | Core | 0 |
| Interview persons present at death scenes to obtain information useful in determining the manner of death. | Core | 0 |
| Testify at inquests, hearings, and court trials. | Core | 0 |
| Provide information concerning the circumstances of death to relatives of the deceased. | Core | 0 |
| Locate and document information regarding the next of kin, including their relationship to the deceased and the status of notification attempts. | Core | 1 |
| Confer with officials of public health and law enforcement agencies to coordinate interdepartmental activities. | Core | 0 |
| Inventory personal effects recovered from bodies, such as jewelry or wallets. | Core | 0.5 |
| Coordinate the release of personal effects to authorized persons and facilitate the disposition of unclaimed corpses and personal effects. | Core | 0 |
| Arrange for the next of kin to be notified of deaths. | Core | 0.5 |
| Collect wills, burial instructions, and other documentation needed for investigations and for handling of the remains. | Core | 0.5 |
| Witness and certify deaths that are the result of a judicial order. | Core | 0 |
| Direct activities of workers conducting autopsies, performing pathological and toxicological analyses, and preparing documents for permanent records. | Core | 0 |
| Record the disposition of minor children, as well as details of arrangements made for their care. | Supplemental | 1 |
Occupation information
Sources and attribution
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 13-1041.06 Coroners
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.