法廷速記者・同時字幕者
法律AI露出度
- データ出典: BLS公表時点: 2026-08
非常に高い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: 2026-03
0.343
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: 2025
0.54
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは13%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
露出のある作業のみ| Task | Claude.aiRaw / share % |
|---|---|
Transcribe recorded proceedings in accordance with established formats.23-2091 | 0.049163.8 |
Record symbols on computer storage media and use computer aided transcription to translate and display them as text.23-2091 | 0.027936.2 |
| Not observed on any surface — 9 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Take notes in shorthand or use a stenotype or shorthand machine that prints letters on a paper tape. | —0 |
Provide transcripts of proceedings upon request of judges, lawyers, or the public. | —0 |
Record verbatim proceedings of courts, legislative assemblies, committee meetings, and other proceedings, using computerized recording equipment, electronic stenograph machines, or stenomasks. | —0 |
Ask speakers to clarify inaudible statements. | —0 |
File a legible transcript of records of a court case with the court clerk's office. | —0 |
File and store shorthand notes of court session. | —0 |
Respond to requests during court sessions to read portions of the proceedings already recorded. | —0 |
Record depositions and other proceedings for attorneys. | —0 |
Verify accuracy of transcripts by checking copies against original records of proceedings and accuracy of rulings by checking with judges. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Take notes in shorthand or use a stenotype or shorthand machine that prints letters on a paper tape.O*NET Task ID 8653 | 1.0 |
Provide transcripts of proceedings upon request of judges, lawyers, or the public.O*NET Task ID 8654 | 1.0 |
Record verbatim proceedings of courts, legislative assemblies, committee meetings, and other proceedings, using computerized recording equipment, electronic stenograph machines, or stenomasks.O*NET Task ID 8655 | 1.0 |
Transcribe recorded proceedings in accordance with established formats.O*NET Task ID 8656 | 1.0 |
Ask speakers to clarify inaudible statements.O*NET Task ID 8657 | 1.0 |
File a legible transcript of records of a court case with the court clerk's office.O*NET Task ID 8658 | 1.0 |
File and store shorthand notes of court session.O*NET Task ID 8659 | 1.0 |
Respond to requests during court sessions to read portions of the proceedings already recorded.O*NET Task ID 8660 | 1.0 |
Record depositions and other proceedings for attorneys.O*NET Task ID 8661 | 1.0 |
Verify accuracy of transcripts by checking copies against original records of proceedings and accuracy of rulings by checking with judges.O*NET Task ID 8662 | 1.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page