コンプライアンス審査官
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
0.121
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
0.43
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30%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
非表示の作業 109 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare reports of activities, evaluations, recommendations, or decisions.13-1041 | 0.017120.8 | 0.017717.6 |
Prepare responses to customer requests for information, such as product data, written regulatory affairs statements, surveys, or questionnaires.13-1041 | 0.009111.1 | —0 |
Respond to questions and inquiries, such as those concerning service charges and capacity fees, or refer them to supervisors.13-1041 | 0.008310.1 | 0.00323.2 |
Prepare correspondence to inform concerned parties of licensing decisions or appeals processes.13-1041 | 0.008310.1 | —0 |
Interpret regulatory rules or rule changes and ensure that they are communicated through corporate policies and procedures.13-1041 | 0.008210.0 | 0.019419.3 |
Obtain and distribute updated information regarding domestic or international laws, guidelines, or standards.13-1041 | 0.00819.8 | 0.00191.9 |
Examine records, reports, or other documents to establish facts or detect discrepancies.13-1041 | 0.00779.3 | 0.030530.4 |
Provide information, technical assistance, or training to supervisors, managers, or employees on topics such as employee supervision, hiring, grievance procedures, or staff development.13-1041 | 0.00637.7 | 0.00525.2 |
Prepare correspondence, reports of inspections or investigations or recommendations for action.13-1041 | 0.00536.4 | —0 |
Advise project teams on subjects such as premarket regulatory requirements, export and labeling requirements, or clinical study compliance issues.13-1041 | 0.00384.7 | —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 |
|---|---|
Warn violators of infractions or penalties.O*NET Task ID 21446 | 1.0 |
Advise licensees or other individuals or groups concerning licensing, permit, or passport regulations.O*NET Task ID 21448 | 1.0 |
Prepare reports of activities, evaluations, recommendations, or decisions.O*NET Task ID 21449 | 1.0 |
Report law or regulation violations to appropriate boards or agencies.O*NET Task ID 21450 | 1.0 |
Score tests and observe equipment operation and control to rate ability of applicants.O*NET Task ID 21456 | 1.0 |
Prepare correspondence to inform concerned parties of licensing decisions or appeals processes.O*NET Task ID 21457 | 1.0 |
Evaluate applications, records, or documents to gather information about eligibility or liability issues.O*NET Task ID 21447 | 0.5 |
Confer with or interview officials, technical or professional specialists, or applicants to obtain information or to clarify facts relevant to licensing decisions.O*NET Task ID 21451 | 0.5 |
Issue licenses to individuals meeting standards.O*NET Task ID 21452 | 0.5 |
Collect fees for licenses.O*NET Task ID 21453 | 0.5 |
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
職業情報
この職業に関わる最近の変化
2026年3月: ATE 0.42 by 2027 in SF Bay Tier 1. Part of the 91.7% of financial occupations crossing moderate-risk threshold in Tier 1 by 2027.
[出典: arXiv 2604.00186 (Gupta & Kumar, 2026)]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.