金融コンプライアンスオフィサー
ビジネス・金融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
露出のある作業のみ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 |
|---|---|
Prepare, organize, and maintain inspection records.O*NET Task ID 10831 | 1.0 |
Prepare written, oral, tabular, and graphic reports summarizing requirements and regulations, including enforcement and chain of custody documentation.O*NET Task ID 10833 | 1.0 |
Evaluate label information for accuracy and conformance to regulatory requirements.O*NET Task ID 10844 | 1.0 |
Respond to questions and inquiries, such as those concerning service charges and capacity fees, or refer them to supervisors.O*NET Task ID 10853 | 1.0 |
Prepare data to calculate sewer service charges and capacity fees.O*NET Task ID 20473 | 1.0 |
Determine the nature of code violations and actions to be taken, and issue written notices of violation, participating in enforcement hearings, as necessary.O*NET Task ID 10829 | 0.5 |
Examine permits, licenses, applications, and records to ensure compliance with licensing requirements.O*NET Task ID 10830 | 0.5 |
Monitor follow-up actions in cases where violations were found, and review compliance monitoring reports.O*NET Task ID 10834 | 0.5 |
Investigate complaints and suspected violations regarding illegal dumping, pollution, pesticides, product quality, or labeling laws.O*NET Task ID 10835 | 0.5 |
Inform individuals and groups of pollution control regulations and inspection findings, and explain how problems can be corrected.O*NET Task ID 10837 | 0.5 |
Interview individuals to determine the nature of suspected violations and to obtain evidence of violations.O*NET Task ID 10832 | 0.0 |
Inspect waste pretreatment, treatment, and disposal facilities and systems for conformance to federal, state, or local regulations.O*NET Task ID 10836 | 0.0 |
Determine sampling locations and methods, and collect water or wastewater samples for analysis, preserving samples with appropriate containers and preservation methods.O*NET Task ID 10838 | 0.0 |
Verify that hazardous chemicals are handled, stored, and disposed of in accordance with regulations.O*NET Task ID 10839 | 0.0 |
Learn and observe proper safety precautions, rules, regulations, and practices so that unsafe conditions can be recognized and proper safety protocols implemented.O*NET Task ID 10843 | 0.0 |
Perform laboratory tests on samples collected, such as analyzing the content of contaminated wastewater.O*NET Task ID 10847 | 0.0 |
Maintain and repair materials, work sites, and equipment.O*NET Task ID 10851 | 0.0 |
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®, Eloundou et al. (2023): see full notices on the Credits page