# Coroners

> 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.

- **SOC code:** 13-1041.06
- **Canonical URL:** https://singulariki.com/roles/role-13-1041-06
- **Also known as:** Autopsy Facilities Manager, Coroner, MDI (Medicolegal Death Investigator), Medical Examiner, County Coroner, Death Investigator, Forensic Pathologist, MLI (Medical Legal Investigator)
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- 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.
- Complete death certificates, including the assignment of cause and manner of death.
- Interview persons present at death scenes to obtain information useful in determining the manner of death.
- Observe and record the positions and conditions of bodies and related evidence.
- Remove or supervise removal of bodies from death scenes, using the proper equipment and supplies, and arrange for transportation to morgues.
- Provide information concerning the circumstances of death to relatives of the deceased.
- Inquire into the cause, manner, and circumstances of human deaths and establish the identities of deceased persons.
- Observe, record, and preserve any objects or personal property related to deaths, including objects such as medication containers and suicide notes.
- Complete reports and forms required to finalize cases.
- Arrange for the next of kin to be notified of deaths.
- Collect and document any pertinent medical history information.
- Locate and document information regarding the next of kin, including their relationship to the deceased and the status of notification attempts.

**Emerging tasks** (O*NET):
- Complete or review death certificates, including the assignment of cause and manner of death.
- Observe and record the positions and conditions of bodies and related evidence at the scene, through documentation or photographs.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Medicine and Dentistry _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Law and Government _(knowledge)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Reading Comprehension _(essential_skill)_
- Oral Expression _(ability)_
- Written Expression _(ability)_
- Deductive Reasoning _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Biology _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Psychology _(Specialized Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- Git _(hot technology)_
- Google Android _(hot technology)_
- Linux _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft SQL Server Reporting Services SSRS _(hot technology)_
- Microsoft Word _(hot technology)_
- Structured query language SQL _(hot technology)_
- Transact-SQL _(hot technology)_
- UNIX _(hot technology)_
- Zoom _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 58th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 64th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 46th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 67th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 26th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.0% growth (About average); 33.3k annual openings; 418k → 430.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $78,420; 397,770 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** — automation, 60% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Provide information concerning the circumstances of death to relatives of the deceased. _(0.6% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me provide information concerning the circumstances of death to relatives of the deceased.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-13-1041-06_