Coroners
13-1041.06Median wage $80,730/yr417,070 employed (US)Rank #900 of 923 scored · top 98% by substitution
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.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution8
Exposure9
Augmentation38
Substitution — the headline: capability discounted by cost, barriers and adoption.
Exposure — technical capability alone, regardless of whether anyone deploys it.
Augmentation — how much AI assists without replacing. High here + moderate substitution = a changing job, not a disappearing one.
Tasks on the substitution scale
20 rated tasks, binned by substitution score.
Position among all scored occupations
Distribution of 923 occupation scores; the marker is this occupation.
Tasks with substitution ≥ 70
0%
Run 1.0.0-draft.1 · computed 2026-08-05 · rater panel: claude-sonnet-5, claude-haiku-4-5-20251001 · intervals span rater disagreement.
Why this score
The five weighted dimensions of the composite, averaged across this occupation's tasks (importance-weighted, panel mean). Exact weights and formulas: /api/v1/methodology.
Task automatabilityw 35%10
panel mean rating 1.4/5 → substitution pressure 10/100
Technical feasibility todayw 20%8
panel mean rating 1.3/5 → substitution pressure 8/100
Cost vs. human wagew 15%9
panel mean rating 1.4/5 → substitution pressure 9/100
Adoption barriersw 20%inverted — strong barriers lower the score7
panel mean rating 4.7/5 (barrier strength) → substitution pressure 7/100
Sector adoption velocityw 10%4
panel mean rating 1.1/5 → substitution pressure 4/100
Task breakdown (20 tasks)
Substitution pressure per task, weighted by O*NET importance in the composite. Expand a task for the full rater audit trail — every rating, every model, every rationale.
Observe, record, and preserve any objects or personal property related to deaths, including objects such as medication containers and suicide notes.
36CI 0–73 · exposure 45 · augmentation 75 · importance 4.8/5 · click for rater detail
Observe, record, and preserve any objects or personal property related to deaths, including objects such as medication containers and suicide notes.
36| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Coroner offices remain understaffed, underfunded, and typically operate outside modern digital infrastructure; adoption of AI for evidence documentation is slow and geographically fragmented despite technical readiness. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Coronial/forensic death investigation is a low-digitization, physically-grounded government function with minimal AI deployment in evidence handling. |
| Augmentation potential | claude-haiku-4-5-20251001 | 5/5 | AI-powered image capture, OCR, and automated inventory logging directly augment a coroner's ability to document scenes comprehensively and quickly while the coroner retains interpretive authority over findings and cause of death determination. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with documentation, photo cataloging, transcription of notes, and record-keeping, but the core physical observation and preservation remains human-driven. |
| Task automatability | claude-haiku-4-5-20251001 | 5/5 | Observation, recording, and preservation of physical objects at a death scene involves documentation and cataloging that modern computer vision, OCR, and digital inventory systems can perform at scale with high fidelity, meeting the 50% time-saving threshold for the documentation component of this task. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical presence at scenes, chain-of-custody handling, and legal evidentiary judgment that current AI cannot perform end-to-end.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Chain-of-custody requirements, legal admissibility of digital evidence, and the need for a licensed coroner to certify findings and testify create significant regulatory and liability barriers that prevent full automation even where technically feasible. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Chain-of-custody, legal admissibility, and licensing/jurisdictional authority requirements mean a qualified human official must perform and certify this task. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 5/5 | AI-based documentation and imaging systems incur marginal inference costs per scene that are orders of magnitude cheaper than the labor hours required for manual observation, recording, and preservation of objects by trained staff. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot substitute for the physical evidence-handling labor involved, so there is no viable cost comparison for full task replacement. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 4/5 | Deployed AI systems (computer vision for object detection, OCR for text on containers and notes, digital asset management platforms) demonstrably perform these sub-tasks reliably in forensic and evidence management contexts, though integration into existing coroner workflows remains nascent. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product physically observes, collects, and preserves evidence at death scenes; this remains a manual, in-person forensic task. |
Complete reports and forms required to finalize cases.
27CI 18–37 · exposure 33 · augmentation 63 · importance 4.8/5 · click for rater detail
Complete reports and forms required to finalize cases.
27| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroners' offices are government agencies with limited digitization and slow technology adoption. Budget constraints, regulatory conservatism in handling death investigations, and the high-stakes legal nature of the work inhibit rapid AI adoption. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Coroner offices are small, often government-run, under-digitized units with limited AI tooling investment compared to fast-adopting private-sector professional services. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can meaningfully assist by drafting template sections, organizing case information, and auto-populating forms from investigative data, reducing administrative burden and increasing coroner productivity on the documentation phase while they retain control over findings. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI can meaningfully speed up drafting, formatting, and populating standardized fields from case notes, letting the coroner focus on verification and judgment calls. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Report writing itself can be partially assisted by AI (templates, draft text), but coroner reports must convey legally binding cause-of-death findings and require human judgment on complex forensic interpretation. End-to-end automation with 50% time savings at equal quality is infeasible because the core determination (cause of death) is a human expert responsibility. |
| Task automatability | claude-sonnet-5 | 3/5 | Drafting and populating standardized coroner reports from case data/notes can largely be automated with LLMs, but final case-specific judgment, legal certification, and edge-case reasoning still require human review, limiting full end-to-end automation. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Coroner reports are legal documents that must be signed by a licensed coroner and often carry evidentiary weight in court proceedings. Licensing requirements, medicolegal liability, and statutory authority firmly require a qualified human to complete and certify these reports. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Coroner reports are official legal documents requiring signature/certification by an authorized official, and errors carry significant legal and forensic consequences, creating strong authorization and liability barriers. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI-assisted drafting and form-filling would have moderate cost, but the human coroner remains essential for the actual determination work. The cost of AI oversight and verification approaches the cost of having the coroner do the work directly, making the savings marginal. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | AI drafting could cut time spent on report writing significantly, but integration with government records systems, oversight, and legal review keeps blended costs only moderately below human-only costs. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed AI system reliably completes coroner reports end-to-end in production. Drafting tools and form-filling assistants exist, but they cannot independently make the critical determination of cause of death or handle the legal and forensic reasoning required. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | General-purpose document generation and form-filling tools exist and are used in adjacent legal/medical documentation contexts, but no widely deployed product specifically automates coroner report finalization in production at scale. |
Locate and document information regarding the next of kin, including their relationship to the deceased and the status of notification attempts.
26CI 23–30 · exposure 25 · augmentation 50 · importance 4.7/5 · click for rater detail
Locate and document information regarding the next of kin, including their relationship to the deceased and the status of notification attempts.
26| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroners' offices are small, county-level organizations with limited digitization and slow technology adoption; they operate in a regulated, conservative domain where human authority over death notifications remains strongly preferred and legally mandated. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Coroner and medicolegal offices are typically small, government-run, and slow to adopt AI tools, with digitization and automation lagging behind sectors like finance or tech. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can usefully assist coroners by searching public records, databases, and genealogical sources to generate candidate next-of-kin lists and summarize relationship information, reducing manual research time while the coroner retains verification and notification decision-making authority. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist by searching public and government databases, cross-referencing records, and drafting documentation templates, meaningfully speeding up parts of the task while a human handles verification and sensitive outreach. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can assist in searching databases and records to locate potential next-of-kin information, the task requires nuanced verification of relationships, determination of appropriate order of contact, and judgment about notification status that demands human authority. Current systems lack the contextual understanding and liability tolerance to execute this end-to-end. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can help search records and draft notification logs, but locating next of kin often requires phone calls, database cross-referencing with limited data access, and judgment calls that current systems cannot fully execute end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Coroners are elected or appointed officers with legal responsibility for official death documentation and notification; many jurisdictions require licensed personnel to manage next-of-kin contact and notification status as part of the legal death investigation process. Liability and evidentiary requirements create high organizational barriers. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No strict licensing requirement for this specific subtask, but chain-of-custody, sensitivity of death notifications, and legal documentation standards create meaningful institutional and ethical friction against full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Integration costs for database access, verification workflows, and oversight required to validate AI-extracted information are substantial relative to the core task. The regulatory and liability stakes make this expensive to automate compared to a coroner's staff member performing direct lookups. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI tools can cheaply search public records, but human verification, phone outreach, and legal documentation still require paid staff time, keeping costs closer to comparable than dramatically cheaper. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably performs this task independently; AI tools can search records and extract candidate information, but coroners' offices require human staff to verify relationships, manage notification protocols, and maintain legal chain-of-custody documentation. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Some records-search and case-management software assists with contact tracing, but no deployed product reliably performs full next-of-kin location and documentation autonomously in coroner offices today. |
Collect and document any pertinent medical history information.
19CI 14–25 · exposure 25 · augmentation 63 · importance 4.7/5 · click for rater detail
Collect and document any pertinent medical history information.
19| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroner offices are typically small, under-resourced public sector units with limited digitization and IT budget. Adoption of AI agents is minimal; most offices remain paper-based or use legacy case-management systems with no measurement of AI-driven displacement. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Coroner offices are typically small, under-resourced government units with low digitization and slow AI adoption compared to fast-adopting sectors like finance or tech. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist by auto-extracting data from uploaded medical records, flagging gaps in history, and organizing timeline summaries, moderately improving coroner productivity. However, the task fundamentally requires human judgment to determine relevance and legal sufficiency, limiting augmentation upside. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI can meaningfully assist by transcribing interviews, extracting relevant history from medical records, and drafting summary reports, saving significant time while the coroner remains responsible for verification and judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Collecting and documenting medical history requires accessing and synthesizing information from disparate sources (hospital records, family interviews, prior examinations), which AI can assist with but cannot fully perform end-to-end. A coroner must interpret incomplete, sensitive, and sometimes conflicting information, exercise judgment about what is pertinent, and ensure legal/evidentiary standards are met—tasks requiring human expertise and accountability. |
| Task automatability | claude-sonnet-5 | 2/5 | Gathering medical history involves accessing records, interviewing family/physicians, and synthesizing disparate sources into a legally significant document; AI can assist retrieval and drafting but cannot reliably conduct the full collection process end-to-end today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Coroners are elected/appointed officials with statutory authority and often face criminal liability for procedural failures or missed evidence. Medical history documentation is legally required and heavily regulated; the coroner or medical examiner must personally verify and certify findings, creating a hard legal barrier to substitution. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Coroners are often legally mandated officials, and medical/legal documentation requires accountability, chain-of-custody, and often licensure or elected authority, creating strong institutional and legal barriers to full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Medical history collection by a coroner is a relatively brief, labor-intensive task performed by a licensed professional whose time is constrained by case volume and legal requirements. AI tool integration adds overhead without reducing the coroner's presence and sign-off requirement, making the all-in cost unlikely to undercut the hourly loaded wage. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI can cheaply summarize documents, but human interviews, record requests, and verification still require significant labor, keeping overall cost comparable to human effort. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While OCR and document extraction tools exist and EMR systems can pull some records automatically, no deployed product reliably performs the full task of gathering *all* pertinent history, conducting necessary interviews, resolving inconsistencies, and producing legally sound documentation. Current systems handle narrow, structured data extraction but fail on the judgment-heavy aspects. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Some EHR summarization and transcription tools exist, but no deployed product autonomously collects and documents forensic medical histories for death investigations in production. |
Collect wills, burial instructions, and other documentation needed for investigations and for handling of the remains.
17CI 9–25 · exposure 13 · augmentation 50 · importance 3.5/5 · click for rater detail
Collect wills, burial instructions, and other documentation needed for investigations and for handling of the remains.
17| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Coroner offices are small, often county-level government entities with limited digitization; adoption of AI tools for document management is slow and inconsistent across jurisdictions, with organizational friction and traditional practices predominating. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | placeholder |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI could assist coroners by automating document scanning, organizing files, and flagging missing items, raising efficiency in the paperwork aspects, though the sensitive interpersonal and legal verification dimensions still require human judgment. |
| Augmentation potential | claude-sonnet-5 | 3/5 | placeholder |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Collecting wills and burial instructions requires navigating diverse legal documents, contacting family members, and managing sensitive interpersonal interactions—tasks that demand human judgment, contextual understanding, and legal/ethical discretion that current AI cannot handle end-to-end. |
| Task automatability | claude-sonnet-5 | 2/5 | Physically collecting and verifying documents from families, funeral homes, and legal offices requires human coordination, judgment, and legal authority that current AI cannot replicate end-to-end."},"feasibility":{"rating":1,"rationale":"No deployed product performs the physical retrieval and legal handling of wills and burial instructions for coroner investigations."},"cost_ratio":{"rating":2,"rationale":"AI can cheaply assist with document parsing and organization, but the collection process itself still requires human labor and interaction, so overall cost savings are limited."},"barriers":{"rating":4,"rationale":"Chain-of-custody, legal authority, and family/next-of-kin interactions typically require an authorized official, creating strong procedural and legal barriers to automation."},"adoption_velocity":{"rating":1,"rationale":"Coroner offices are small, low-digitization government functions with minimal AI adoption for this kind of task."},"augmentation":{"rating":3,"rationale":"AI can help organize, search, and summarize collected documents once digitized, improving efficiency, but does not replace the physical collection process."}}, |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Coroners are legally accountable officers who must personally verify and sign off on documentation; legal liability for errors in handling remains, wills, and burial instructions creates strong regulatory and liability-driven barriers to full automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | placeholder |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI tools for document processing are inexpensive, but the task involves legal accountability and sensitive interpersonal work requiring human oversight; the total cost of AI plus required human verification approaches or exceeds the cost of direct human handling. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | placeholder |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI can assist with document scanning and basic text extraction, no deployed system reliably collects, verifies, and organizes legal documentation independently; human coroners must still authenticate sources, manage chain of custody, and engage with families directly. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | placeholder |
Inventory personal effects recovered from bodies, such as jewelry or wallets.
16CI 9–23 · exposure 20 · augmentation 25 · importance 4.7/5 · click for rater detail
Inventory personal effects recovered from bodies, such as jewelry or wallets.
16| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroner offices are small, government-run, and digitization lags behind most sectors. Adoption of AI in this niche forensic-administrative domain is extremely slow, with most jurisdictions still using manual inventory systems. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Coroner/medical examiner offices are low-digitization, physically-grounded government functions with minimal AI adoption for evidence handling tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | Digital photography and AI-assisted tagging could provide modest support for description and searchability, but the high-stakes, legally sensitive nature of personal effects from deceased persons limits how much an AI assistant can meaningfully augment the coroner's core responsibilities. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could help with generating inventory logs, transcribing descriptions, or organizing records, but offers little assistance for the core physical handling and verification work. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While digital cataloging and photography can be partially automated, the physical handling, identification, and detailed description of varied personal effects requires human judgment to determine authenticity, condition, and proper documentation. The manual aspects of secure inventory management prevent 50% time-savings at equal quality. |
| Task automatability | claude-sonnet-5 | 2/5 | Physical handling, cataloging, and chain-of-custody documentation of recovered items requires physical presence and legal accountability that current AI cannot perform end-to-end, though some cataloging/data entry could be assisted. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Strong legal and regulatory barriers exist: coroners or medical examiners must legally document and chain-of-custody personal effects for evidentiary purposes, and courts require certified human sign-off. Liability for lost or misidentified items creates significant error-cost asymmetry. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Chain-of-custody, legal evidentiary standards, and coroner authorization requirements mean this must be performed and certified by an authorized human official. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI systems for image recognition and database entry would require infrastructure, training, and oversight costs that approach the cost of human coroners performing the task. The small-scale, specialized nature of this work means economies of scale do not favor automation. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot physically retrieve, handle, or verify items, so there is no viable AI-only cost comparison; a human must perform the physical task regardless of cost. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably performs end-to-end personal effects inventorying; computer vision for item recognition exists but fails on occluded, damaged, or unfamiliar objects. Chain-of-custody and forensic accuracy requirements demand human oversight that no production system eliminates today. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs physical inventorying of personal effects from bodies; this remains a manual, in-person forensic task. |
Record the disposition of minor children, as well as details of arrangements made for their care.
11CI 0–23 · exposure 13 · augmentation 38 · importance 3.6/5 · click for rater detail
Record the disposition of minor children, as well as details of arrangements made for their care.
11| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This task occurs in highly regulated, low-digitization sectors (coroner's offices, child protective services) with strong human-contact and liability requirements; adoption of AI automation here is negligible. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Coroner offices are small, often government-run, low-digitization environments with minimal AI adoption for sensitive casework documentation; this is a niche task within a niche occupation with essentially no publicized AI deployment. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with formatting documentation or retrieving regulatory guidance, but the core task—deciding disposition and arranging care for children—requires human judgment and accountability that AI augmentation cannot materially enhance without creating liability exposure. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with drafting standardized reports, transcribing interviews, and organizing case files, giving moderate productivity benefits while the coroner retains responsibility for judgment and accuracy. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires sensitive judgment about child welfare, legal custody arrangements, and documentation of complex family circumstances. Current AI cannot reliably determine appropriate child disposition or care arrangements, which demands understanding of local law, caseworker expertise, and human decision-making accountability. |
| Task automatability | claude-sonnet-5 | 2/5 | This task involves sensitive documentation of child welfare arrangements that requires judgment calls about custody, agency involvement, and sensitive family circumstances, though the recording itself is administrative. Only the pure data-entry portion could be automated, not the underlying decision-making about what arrangements are appropriate. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Child welfare decisions are strictly regulated and require licensed coroner or social worker sign-off. Legal authority to determine disposition of minors and arrange their care is non-delegable; only credentialed professionals can legally make and document these decisions. |
| Adoption barriers | claude-sonnet-5 | 4/5 | This involves legal recordkeeping tied to child welfare and often requires coordination with child protective services and legal authorities, creating strong liability and authorization barriers around who can make and document such determinations. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task is primarily a high-liability documentation and decision function performed by credentialed coroners and social workers; AI would require extensive human oversight and cannot reduce the core cost of the required human expert involvement. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI transcription/documentation tools are cheap, but the task requires a trained official to gather facts, make welfare judgments, and ensure legal accuracy, so oversight costs keep the ratio closer to comparable than dramatically cheaper. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product reliably performs child welfare disposition and care arrangement decisions in production. This requires human social workers and coroners to evaluate safety, legal status, and family circumstances—tasks that remain gatekept to credentialed professionals. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | No deployed product specifically handles child welfare disposition documentation in death investigation contexts; general dictation/transcription tools exist but the domain-specific judgment and record-keeping is not automated in production coroner systems today. |
Complete death certificates, including the assignment of cause and manner of death.
7CI 0–15 · exposure 8 · augmentation 38 · importance 5.0/5 · click for rater detail
Complete death certificates, including the assignment of cause and manner of death.
7| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroner offices and medical examiner systems operate in highly regulated, low-digitization environments with strong professional norms against automation of death determination. Adoption of AI in this domain remains minimal, with no evidence of meaningful deployment. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Forensic pathology and coroner offices are a small, low-digitization public-sector niche with minimal AI deployment beyond administrative record-keeping tools. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could potentially assist with administrative data entry, literature search on rare causes, or flagging inconsistencies in medical records, but provides limited augmentation for the core judgment task of determining cause and manner of death, which demands coroner expertise and discretion. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help draft certificate language, cross-check coding (e.g., ICD codes), and flag inconsistencies, providing moderate assistance while the coroner retains final judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Death certificate completion requires medical judgment, legal authority, and investigation findings that involve complex reasoning about causation and manner of death. Current AI systems cannot independently determine cause of death or manner (natural, accidental, suicide, homicide) from medical evidence with the reliability and legal standing required. |
| Task automatability | claude-sonnet-5 | 2/5 | Determining cause and manner of death requires synthesizing autopsy findings, toxicology, scene evidence, and medical history with professional judgment; AI can assist drafting but cannot reliably perform the core determination end-to-end today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Death certificate completion is legally reserved to licensed medical examiners or coroners in most jurisdictions. There are hard statutory and regulatory barriers requiring a licensed professional to make and sign off on cause and manner of death determinations. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Death certificates are legal documents requiring certification by a licensed medical examiner or coroner under state law, with significant liability for errors, making human sign-off legally mandatory. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI systems capable of assisting with this task remain experimental and would require significant human coroner oversight, validation, and liability retention, making the all-in cost per certificate completion comparable to or higher than direct human performance. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI could cheaply draft document text, but the substantive medical-legal determination still requires a qualified human, so overall cost savings versus a coroner/medical examiner's time are limited. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product reliably completes death certificates with assigned cause and manner of death in production. This task requires licensed coroner or medical examiner authority and involves legal, medical, and forensic judgment that cannot be delegated to automated systems. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously determines cause/manner of death and completes legal certificates; this remains a research-stage capability at best. |
Observe and record the positions and conditions of bodies and related evidence.
3CI 0–5 · exposure 5 · augmentation 50 · importance 4.9/5 · click for rater detail
Observe and record the positions and conditions of bodies and related evidence.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroner offices are small, public-sector, traditionally low-tech organizations with minimal digitization and no economic incentive to adopt AI automation given legal and professional licensing constraints. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Forensic and death investigation fields are low-digitization, physically-grounded, and show minimal evidence of AI displacing on-scene observational duties. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI could assist by organizing photographic evidence, suggesting anatomical landmarks, or cross-referencing case databases, but the core observational and interpretive task remains fundamentally human-dependent given legal and forensic requirements. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with documentation, photo analysis, note transcription, or generating structured reports from field observations, aiding but not replacing the coroner's direct observation. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Observing and recording positions and conditions of bodies requires physical presence at a scene, nuanced visual and contextual judgment, and chain-of-custody integrity that current AI systems cannot perform end-to-end. While AI could assist with photo analysis, the task fundamentally demands human forensic expertise and legal accountability on-site. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical presence at a scene, hands-on examination of a body, and forensic judgment about condition and evidence relevance that no current AI system can perform end-to-end.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Coroners are licensed officials bound by statute to personally observe and legally certify findings; courts and legal proceedings require human testimony and chain-of-custody documentation that only the coroner can provide. Automation is prohibited by law and professional licensure requirements. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Coroners are legally authorized officials whose scene observations and death determinations carry evidentiary and legal weight, requiring licensed/elected human authority and chain-of-custody accountability. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of deploying AI systems (cameras, processing, integration with forensic workflows, and mandatory human verification) would likely exceed the direct labor cost of a coroner performing this task, given the low volume and high stakes of individual cases. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI-only pathway to perform this physical, in-person task, so cost comparison favors the human by default. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | AI systems can analyze post-hoc images and video for anomaly detection or assist with data organization, but no deployed product reliably performs the real-time observation, positioning documentation, and evidentiary assessment required by coroners in uncontrolled death scenes without human oversight. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product independently observes and records death scene conditions and body positioning as a substitute for a coroner's on-site examination. |
Confer with officials of public health and law enforcement agencies to coordinate interdepartmental activities.
3CI 0–5 · exposure 0 · augmentation 38 · importance 4.0/5 · click for rater detail
Confer with officials of public health and law enforcement agencies to coordinate interdepartmental activities.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This is a core governmental function in a traditionally low-tech sector with strong legal and professional constraints; adoption of AI for official coordination duties is not occurring. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Government/public safety and forensic sectors are slow adopters of AI for interpersonal liaison duties, with minimal production deployment in this niche. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could marginally assist by summarizing prior interagency communications or preparing briefing materials, but the actual conferencing and decision-making require the coroner's direct participation and judgment. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help by summarizing case data, drafting briefing materials, or tracking action items across agencies, improving efficiency of preparation even though the interpersonal conferring itself is unaided. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires real-time negotiation, relationship-building, and judgment-based coordination with human officials across agencies. Current AI cannot autonomously conduct interdepartmental conferences or make substantive coordination decisions that require legal and procedural authority. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a real-time, high-stakes interpersonal coordination task requiring trust-building, negotiation, and situational judgment across agencies that AI cannot perform end-to-end today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Coroners are licensed government officials with legal authority; coordination with law enforcement and public health agencies is a statutory function that only the coroner or their designated deputy can perform. Human presence and accountability are non-negotiable. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Coroners are public officials with statutory authority and accountability to law enforcement and public health bodies, and interagency coordination typically requires an authorized human representative. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task fundamentally requires a licensed coroner's time and presence; there is no meaningful AI alternative to reduce the labor cost of this coordination activity. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this function, so cost comparison favors the human by default since AI cannot deliver the output. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI system can independently conduct official interagency conferences or serve as a substitute for a coroner's participation in coordination meetings. This requires human presence, authority, and accountability. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product conducts interdepartmental liaison conferences on behalf of a coroner; this remains a human relationship-management function. |
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.
0CI 0–0 · exposure 0 · augmentation 50 · importance 5.0/5 · click for rater detail
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.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroner services are slow-adopting, typically government-run with limited budgets and conservative practices. There is minimal evidence of automation or AI displacement in coroner offices; adoption remains experimental and limited to narrow analytical aids rather than task replacement. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Forensic pathology and medicolegal death investigation are low-digitization, physically embodied fields with minimal AI agent deployment in production. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist coroners by analyzing post-mortem imaging, helping to flag trauma patterns, or processing toxicology data, moderately raising their efficiency in documentation and analysis. However, the core examination work remains manual, so augmentation is limited to supporting analytical phases rather than transforming the primary examination itself. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with imaging analysis (e.g., CT-based virtual autopsy), toxicology data interpretation, and report drafting, aiding but not replacing the hands-on examination. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Performing autopsies and medicolegal examinations requires direct physical manipulation of human remains, nuanced sensory observation, and real-time judgment that current AI cannot replicate. While AI can assist in analyzing images or data post-examination, the core task of conducting the examination itself remains fundamentally human work requiring embodied presence and expert decision-making. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical manipulation of a body, hands-on dissection, and physical evidence collection that no current AI system can perform; it is fundamentally a physical/manual medical task. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Coroners are legally required officials in most jurisdictions, and medicolegal death investigation is a licensed and regulated function. Law mandates that a qualified coroner or medical examiner must conduct and sign off on examinations; this hard legal requirement creates an insurmountable barrier to substitution. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Autopsies legally require a licensed medical examiner or coroner, often with statutory authority, chain-of-custody and legal certification requirements that mandate human sign-off. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI systems cannot currently perform this task end-to-end, so direct cost comparison is not meaningful. Where AI assists (image analysis), the cost of integration, human oversight, and the inability to replace the coroner's core examination work means AI remains more expensive than the human labor required. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing the physical task, so cost comparison is moot; any AI role would be an add-on cost atop the human examiner, not a replacement. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI system can conduct or perform autopsies or medicolegal examinations. Pathology AI exists for analyzing slides or images, but autonomous or fully substitutive performance of examination, trauma identification, and time-of-death assessment by current systems does not occur in production. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical autopsy examinations; AI is not embodied in a way that allows physical trauma inspection or tissue examination. |
Interview persons present at death scenes to obtain information useful in determining the manner of death.
0CI 0–0 · exposure 0 · augmentation 25 · importance 5.0/5 · click for rater detail
Interview persons present at death scenes to obtain information useful in determining the manner of death.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroner offices are traditionally staffed, often governmental entities with low digitization. Interview-based investigative work remains a human-centered process with minimal AI adoption in practice. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Forensic/death investigation is a highly specialized, low-digitization government function with minimal AI agent deployment in this specific interview role. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with note-taking or keyword flagging during interviews, but the core task of establishing rapport, reading witnesses, and conducting sensitive questioning remains fundamentally human. Augmentation potential is modest. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could help transcribe, organize notes, or flag inconsistencies afterward, but offers little real-time assistance during the actual interview process itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Interviewing witnesses at death scenes requires nuanced human interaction, judgment about credibility, and the ability to respond to emotional contexts and unexpected disclosures. Current AI cannot reliably conduct these sensitive interviews or make real-time judgments about witness reliability and consistency. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physically being present, reading demeanor, building rapport, and adaptively probing witnesses in a sensitive, often legally-fraught context—far beyond current AI capability end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Conducting death-scene interviews is a legally protected function requiring licensed coroners or certified investigators. Legal liability for mishandled witness statements, evidence protocol violations, and chain-of-custody documentation create hard barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Death investigations typically require a legally authorized official (coroner/medical examiner) to conduct interviews and determinations, with chain-of-custody, legal admissibility, and liability concerns creating hard barriers to substitution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI systems capable of conducting meaningful witness interviews do not exist at scale, making cost comparison moot. The human coroner's or investigator's loaded wage is already sunk and necessary. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this task, so no meaningful cost comparison favors AI; a human investigator is the only option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product exists that performs witness interviews at death scenes; this requires trained legal judgment, empathy, and investigative expertise that is not automated in any production system today. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product conducts death-scene witness interviews; this remains entirely a human, in-person investigative function. |
Provide information concerning the circumstances of death to relatives of the deceased.
0CI 0–0 · exposure 0 · augmentation 13 · importance 4.8/5 · click for rater detail
Provide information concerning the circumstances of death to relatives of the deceased.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | No sector is adopting AI automation for death notifications. The nature of the task—deeply human, legally mandated, ethically bound—places it outside any realistic automation trajectory. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Coroner offices are small, resource-constrained government units with low digitization and no observed movement toward automating family notification duties. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI offers minimal augmentation for this task. While coroners might use documents or records systems to organize information, the core act of communicating with and supporting grieving relatives gains no meaningful productivity improvement from AI assistance and could be undermined by it. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI might help organize case facts or draft talking points beforehand, but it offers minimal assistance during the actual sensitive, real-time conversation with grieving relatives. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires genuine human empathy, emotional intelligence, and the ability to navigate deeply sensitive interpersonal dynamics that current AI cannot authentically replicate. Delivering death notifications demands real-time judgment about family readiness, cultural context, and appropriate pacing that no automated system can adequately handle. |
| Task automatability | claude-sonnet-5 | 1/5 | This task requires empathetic, real-time human interaction to deliver sensitive news about death, which involves emotional judgment and adaptive communication that current AI cannot replicate end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Strong legal, professional, and ethical barriers protect this task. Coroners are licensed officials, and delivering death notifications to next-of-kin has inherent legal and duty-of-care requirements that mandate human judgment and accountability. Families have a strong expectation and right to receive such information from an authorized human professional. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Legal, ethical, and professional norms require a licensed official (coroner or delegate) to personally convey findings to grieving families; this involves accountability, potential legal testimony, and deep human-contact requirements. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | A coroner's presence and judgment during this notification is not genuinely replaceable by AI, making cost comparison moot. Any attempt to automate would require human oversight anyway, eliminating cost savings. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this function, so any cost comparison is moot; the human coroner's time here is irreplaceable, not merely expensive. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product reliably performs death notifications to grieving relatives in production settings. This task requires real human presence and emotional responsiveness that falls outside current AI deployment capabilities. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs death notifications or grief-sensitive family communications; this remains firmly a human-only interpersonal function in practice. |
Remove or supervise removal of bodies from death scenes, using the proper equipment and supplies, and arrange for transportation to morgues.
0CI 0–0 · exposure 0 · augmentation 13 · importance 4.8/5 · click for rater detail
Remove or supervise removal of bodies from death scenes, using the proper equipment and supplies, and arrange for transportation to morgues.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroner and medical examiner offices are government agencies with slow technology adoption, limited digital integration, and strong professional licensing requirements that create structural barriers to automation. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Death investigation and scene management are low-digitization, physical-world sectors with essentially no AI adoption for this specific task. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI cannot meaningfully augment the physical and supervisory aspects of removing bodies from death scenes, as the core task is hands-on field work requiring human presence, judgment, and legal accountability. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with documentation, scheduling transport logistics, or digital scene mapping, but offers minimal assistance to the core physical removal task itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical presence at potentially hazardous death scenes, specialized equipment operation, and real-time decision-making about body handling that demands human judgment and legal accountability. Current AI systems cannot operate in unstructured physical environments or assume liability for corpse handling. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical task requiring manual handling of bodies at death scenes, which is entirely outside the capability of current AI systems.rating remains at floor since no software or AI model can physically remove or transport remains. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task carries hard legal and regulatory barriers: coroners and licensed removal personnel must personally attend death scenes, document findings, and take responsibility for proper handling. Most jurisdictions require a licensed professional to supervise or perform the actual removal. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Legal chain-of-custody, forensic integrity, and jurisdictional authority typically require a licensed coroner or deputy to supervise body removal, creating hard legal and evidentiary barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The loaded cost of a coroner or trained removal technician is far lower than the capital and operational cost of robotics plus ongoing human oversight required to perform body removal safely and legally at a death scene. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this physical task, so cost comparison is moot; any hypothetical robotic solution would be far more expensive than trained personnel today. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product can physically remove or supervise removal of bodies from death scenes. This involves embodied robotics in highly variable, sensitive environments where legal and ethical responsibility falls on a human professional, making it research-stage only. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs physical body removal or scene supervision; this remains purely a human/robotic-physical-labor domain with no research-stage equivalents even. |
Inquire into the cause, manner, and circumstances of human deaths and establish the identities of deceased persons.
0CI 0–0 · exposure 0 · augmentation 38 · importance 4.8/5 · click for rater detail
Inquire into the cause, manner, and circumstances of human deaths and establish the identities of deceased persons.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroner offices are typically small, public-sector, laggard-sector organizations with limited digitization and no measurable AI adoption for core investigative functions. The role remains bound to human authority and field investigation. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Forensic/medico-legal death investigation is a highly specialized, low-digitization public-sector field with minimal AI agent deployment in production. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI might assist with evidence documentation, scheduling, or administrative tasks, but the core investigative work—interviewing, scene assessment, determining cause of death—resists augmentation because it requires coroner authority and judgment grounded in direct human observation and professional accountability. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with data analysis, database searches for identification (e.g., dental/DNA matching support, records cross-referencing), and report drafting, improving efficiency without replacing judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires deep investigation of contextual circumstances, interviews with witnesses, interpretation of physical and forensic evidence, and human judgment about cause and manner of death—domains where AI cannot operate end-to-end without human authority. Current AI cannot reliably determine cause of death or establish legal identity independent of human coroners. |
| Task automatability | claude-sonnet-5 | 1/5 | This task requires physical examination, legal authority, scene investigation, and judgment about cause/manner of death that current AI cannot perform end-to-end; no off-the-shelf system replaces the coroner's determinative role. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Coroners are licensed officials with statutory authority to determine cause and manner of death; many jurisdictions legally require a qualified coroner or medical examiner to sign death certificates and conduct inquests. This is a hard legal and licensing barrier preventing substitution. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Coroners are legally authorized officials whose findings carry evidentiary and legal weight (death certificates, criminal investigations); statutes require a qualified human to make these determinations. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | A coroner's role involves professional expertise, legal responsibility, and field investigation costs that far exceed current AI inference and integration costs, making AI substitution economically unfavorable even if it were technically possible. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this full task, so no meaningful cost comparison exists; any AI use is a minor supplement to an irreplaceable human-led process. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product performs the core investigative and legal functions of a coroner independently. AI may assist with data analysis or documentation, but no production system determines cause or manner of death or legally establishes identity as a coroner does. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously investigates deaths and establishes legal identity determinations; this remains a human forensic and legal function, sometimes aided by lab/DNA software. |
Arrange for the next of kin to be notified of deaths.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.8/5 · click for rater detail
Arrange for the next of kin to be notified of deaths.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This task has zero adoption of AI automation in practice; coroner offices operate in low-digitization, human-contact-required contexts where notification remains entirely manual and staffed by licensed personnel. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Coroner offices are small, low-digitization government units with minimal AI adoption for sensitive interpersonal duties like this. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist by helping identify correct contact information or drafting notification templates, but these are marginal aids to a task fundamentally requiring direct human-to-human communication from an authorized official. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could help track contact information, schedule notifications, or draft supporting documentation, but offers minimal assistance to the actual sensitive communication task itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires human judgment, empathy, and legal authority to deliver death notifications—sensitive work that demands interpersonal skill and cultural/familial understanding that current AI cannot reliably replicate. No AI system today can autonomously conduct these notifications at acceptable quality or speed. |
| Task automatability | claude-sonnet-5 | 1/5 | Notifying next of kin requires sensitive, empathetic human-to-human communication and judgment about timing, delivery method, and emotional support that current AI cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Strong legal and ethical barriers: only authorized personnel (coroners, medical examiners, law enforcement) can officially notify next of kin, and the task requires human accountability, cultural sensitivity, and legal signoff. Substitution is prohibited by practice and liability. |
| Adoption barriers | claude-sonnet-5 | 5/5 | This involves legal, ethical, and procedural requirements for compassionate, authorized notification, often tied to jurisdictional protocols and liability, making human performance essentially mandatory. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | A coroner arranging notifications involves minutes of human work per case; the cost of a human performing this is minimal and outweighed by the need for human presence. AI deployment would add overhead without meaningful savings. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this task, so cost comparison favors humans entirely; any AI involvement would only be administrative/logistical support, not the core task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product performs autonomous death notification to next of kin in production; this remains a human-only function in all coroner/medical examiner jurisdictions. The legal, emotional, and accountability requirements make automation unfeasible with current systems. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product handles death notification arrangements; this remains a purely human, in-person or phone-based responsibility of coroners or law enforcement. |
Direct activities of workers conducting autopsies, performing pathological and toxicological analyses, and preparing documents for permanent records.
0CI 0–0 · exposure 0 · augmentation 38 · importance 4.7/5 · click for rater detail
Direct activities of workers conducting autopsies, performing pathological and toxicological analyses, and preparing documents for permanent records.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Medical examiner and coroner offices are small, slow-moving government and institutional entities with minimal digitization and strong regulatory conservatism; adoption of AI oversight is negligible. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Forensic pathology and coroner offices are a small, highly regulated, low-digitization government sector with minimal AI adoption for core investigative direction. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with document preparation and case record organization, but cannot augment the core supervisory and decision-making authority that defines this task. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with toxicology data analysis, report drafting, and record-keeping, offering moderate productivity gains while the coroner retains directive and legal responsibility. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Directing and overseeing workers requires real-time judgment, accountability, and legal authority that cannot be delegated to AI; AI cannot currently supervise personnel or assume legal responsibility for pathological findings and autopsy protocols. |
| Task automatability | claude-sonnet-5 | 1/5 | Directing staff conducting physical autopsies and lab analyses requires hands-on supervision, legal authority, and professional judgment that current AI cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Coroner and medical examiner positions are legally licensed roles; statute and regulation require a credentialed human to direct autopsy activities, sign reports, and bear liability for pathological findings. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Coroners are legally authorized officials whose signature and oversight on death investigations and records are required by law, creating a hard licensing/liability barrier. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | A coroner's oversight and decision-making authority commands a six-figure salary; AI oversight systems would need to be extraordinarily cheap and reliable to offset the human cost of a licensed medical examiner. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute for this supervisory/legal role, so cost comparison favors the human coroner entirely; AI cannot deliver the output at all. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product performs coroner oversight or worker direction; this requires licensed medical examiner authority, liability assumption, and interpersonal supervision that remains exclusively human in practice. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product manages or directs autopsy teams or forensic lab workflows in production; this remains entirely a human management function. |
Coordinate the release of personal effects to authorized persons and facilitate the disposition of unclaimed corpses and personal effects.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.6/5 · click for rater detail
Coordinate the release of personal effects to authorized persons and facilitate the disposition of unclaimed corpses and personal effects.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Coroner and medical examiner offices are small, government-funded, low-digitization organizations where automation pressure is minimal and statutory requirements prevent delegation to AI systems. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Coroner/medical examiner offices are small, physical, government-run offices with minimal digitization or AI agent deployment for this kind of task. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could provide limited assistance with data organization, record retrieval, or notification templates, but the task's core components—legal authorization, case judgment, and interpersonal notification—remain heavily human-dependent. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could help with record-keeping, tracking claims status, or generating notification letters, but offers limited assistance to the core coordination and physical release process. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires navigating complex legal requirements, determining authorized persons through investigation, managing chain-of-custody for evidence, and making discretionary decisions about unclaimed bodies—all involving human judgment, legal authority, and interpersonal communication that current AI cannot perform end-to-end. |
| Task automatability | claude-sonnet-5 | 1/5 | This involves physical custody transfer, identity verification, legal chain-of-custody decisions, and interpersonal coordination with grieving families that AI cannot execute end-to-end., |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Coroners have statutory authority and legal responsibility for the disposition of remains and personal effects; laws in most jurisdictions require a licensed coroner or medical examiner to legally perform these duties, creating hard barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Coroners are statutorily authorized officials with legal signing authority over remains and property disposition, creating hard legal barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task involves minimal routine data processing and substantial human judgment, legal authority, and case-specific investigation, making any AI assistance cheaper but not cheaper than the human performer overall since the human must retain full responsibility. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | The task requires human physical presence, verification, and legal accountability, so AI cannot substitute at any meaningful cost savings for the core work. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI system can autonomously handle the legal, investigative, and interpersonal components of releasing personal effects or determining proper disposition of unclaimed remains; these require human judgment and legal responsibility. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs physical release coordination or manages disposition of unclaimed remains; this remains a manual, in-person administrative and legal function. |
Witness and certify deaths that are the result of a judicial order.
0CI 0–0 · exposure 0 · augmentation 13 · importance 4.3/5 · click for rater detail
Witness and certify deaths that are the result of a judicial order.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Adoption velocity is inapplicable because the task cannot be automated or delegated under any circumstance. Regulatory and legal structure locks this task to human coroners indefinitely. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Government death investigation and judicial oversight functions are slow-moving, heavily regulated, and show no meaningful AI adoption for this specific certification act. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI offers no meaningful assistance to the core witnessing and certification function. While administrative documentation might be slightly supported, the essential act of witnessing and legal attestation remains entirely human. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could help with documentation, scheduling, or record-keeping around the event, but offers minimal assistance to the core witnessing and certification act itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task is fundamentally a legal and ceremonial act requiring human presence and authority. A coroner must physically witness the execution and sign official certifications—no AI system can satisfy the statutory requirement for an authorized human official to be present and attest to death. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical presence, legal authority, and personal certification by an appointed official; no AI system can perform the witnessing or legal certification act itself. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task has the strongest possible barriers: state and federal law mandate that a licensed medical examiner or coroner must personally witness and officially certify judicial executions. Legal authority, professional licensure, and statutory requirement create hard barriers to any automation or delegation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Statutory law requires a licensed, appointed coroner or medical examiner to personally witness and certify such deaths, creating an absolute legal barrier to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI cannot perform this task at any cost, so cost comparison is not meaningful. The task requires a credentialed human coroner whose legal authority and physical presence are non-substitutable. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute cost to compare; the task must be performed by a human coroner, making AI cost irrelevant or infinite in comparison. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product performs this task; it is inherently non-delegable to machines. Witnessing and legal certification of judicial executions requires human judgment, presence, and legal standing that current AI cannot provide. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs official witnessing or legal certification of judicially-ordered deaths; this is a research-irrelevant, purely human legal function. |
Testify at inquests, hearings, and court trials.
0CI 0–0 · exposure 0 · augmentation 38 · importance 4.2/5 · click for rater detail
Testify at inquests, hearings, and court trials.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This task sits in the legal/judicial system where human testimony is mandated by statute and case law; there is no adoption of AI to replace courtroom testimony in any sector. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Legal and forensic testimony sectors show essentially no movement toward AI performing courtroom testimony, given evidentiary and procedural constraints. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could marginally assist a coroner in preparing testimony by organizing autopsy findings or reviewing case materials, but courtroom testimony itself remains exclusively human work with minimal augmentation potential. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help coroners prepare testimony by organizing case files, summarizing findings, and drafting reports, though the actual testimony remains fully human-delivered. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Testifying at legal proceedings requires human presence, credibility assessment by fact-finders, real-time cross-examination, and the ability to provide expert witness testimony under oath—none of which AI can perform today. Legal systems require a qualified human coroner to take the stand. |
| Task automatability | claude-sonnet-5 | 1/5 | Testifying at inquests and trials requires a real person physically present under oath, subject to cross-examination and credibility assessment; AI cannot perform this act itself.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task has absolute legal barriers: testimony must come from a qualified, licensed coroner present in court under oath. Legal systems explicitly require human expert witnesses for critical evidence in death investigations. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Testimony is a legally mandated human function requiring sworn, licensed, and often court-recognized official status, with strict rules of evidence and personal accountability. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Human coroner testimony is legally required and cannot be replaced by AI, so cost comparison is moot; AI has no viable alternative offering here. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute cost to compare since the task cannot be performed by AI; the human coroner's testimony cost is irreducible. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI system can substitute for courtroom testimony; this requires a licensed coroner's physical and legal presence as a witness. AI cannot serve as an expert witness or testify under oath. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product testifies in court in place of a coroner; this remains entirely outside current AI product capability. |
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How to read this
A high substitution score does not mean this job disappears — it means a large share of its current tasks face replacement pressure, so the mix of tasks is likely to change. High augmentation alongside substitution typically means the occupation reorganizes around the protected tasks. Wide confidence intervals mean the rater panel disagreed: treat those scores as open questions, not verdicts.
What would change this score
New model capabilities (automatability, feasibility), falling inference costs (cost ratio), regulation and licensing shifts (barriers), and measured sector adoption (velocity) all re-enter at every index release. Each release is recomputed, versioned and kept queryable — scores are claims with a date on them, not permanent labels.