魚類・野生動物保護官
保護サービスAI露出度
- データ出典: BLS公表時点: 2026-08
中程度· 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
0.000
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
0.20
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86%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 |
|---|---|
Address schools, civic groups, sporting clubs, or the media to disseminate information concerning wildlife conservation and regulations.O*NET Task ID 7922 | 1.0 |
Issue warnings or citations and file reports as necessary.O*NET Task ID 20584 | 1.0 |
Recommend revisions in hunting and trapping regulations or in animal management programs so that wildlife balances or habitats can be maintained.O*NET Task ID 7923 | 0.5 |
Collect and report information on populations or conditions of fish and wildlife in their habitats, availability of game food or cover, or suspected pollution.O*NET Task ID 7925 | 0.5 |
Survey areas and compile figures of bag counts of hunters to determine the effectiveness of control measures.O*NET Task ID 7926 | 0.5 |
Investigate crop, property, or habitat damage or destruction or instances of water pollution to determine causes and to advise property owners of preventive measures.O*NET Task ID 7928 | 0.5 |
Design or implement control measures to prevent or counteract damage caused by wildlife or people.O*NET Task ID 7929 | 0.5 |
Document the extent of crop, property, or habitat damage and make financial loss estimates or compensation recommendations.O*NET Task ID 7930 | 0.5 |
Issue licenses, permits, or other documentation.O*NET Task ID 7932 | 0.5 |
Provide advice or information to park or reserve visitors.O*NET Task ID 7933 | 0.5 |
Patrol assigned areas by car, boat, airplane, horse, or on foot to enforce game, fish, or boating laws or to manage wildlife programs, lakes, or land.O*NET Task ID 7915 | 0.0 |
Protect and preserve native wildlife, plants, or ecosystems.O*NET Task ID 7918 | 0.0 |
Promote or provide hunter or trapper safety training.O*NET Task ID 7919 | 0.0 |
Provide assistance to other local law enforcement agencies as required.O*NET Task ID 7921 | 0.0 |
Inspect commercial operations relating to fish or wildlife, recreation, or protected areas.O*NET Task ID 7924 | 0.0 |
Supervise the activities of seasonal workers.O*NET Task ID 7931 | 0.0 |
Perform facilities maintenance work, such as constructing or repairing structures or controlling weeds or pests.O*NET Task ID 7934 | 0.0 |
Investigate hunting accidents or reports of fish or game law violations.O*NET Task ID 20583 | 0.0 |
Serve warrants and make arrests.O*NET Task ID 20585 | 0.0 |
Participate in search-and-rescue operations.O*NET Task ID 20586 | 0.0 |
Arrange for disposition of fish or game illegally taken or possessed.O*NET Task ID 20587 | 0.0 |
Seize equipment used in fish and game law violations.O*NET Task ID 20588 | 0.0 |
Participate in firefighting efforts.O*NET Task ID 20589 | 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