法医人類学者

生命・物理・社会科学

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

    出典データセット(XLSX ファイルのダウンロード)

  • データ出典: Anthropic公表時点: 2026-03

    0.135

    0.000ここに掲載された値の範囲0.745
    尺度・母数・出典

    観測エクスポージャー指数、公開されたまま0–1

    O*NETタスクへの対応づけが基準

    出典データセット

  • データ出典: ILO公表時点: 2025

    0.48

    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21%です。

    出典データセット

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.

TaskβE1 + 0.5 × E2
Write about and present research findings for a variety of specialized and general audiences.

O*NET Task ID 22234

1.0
Write grant proposals to obtain funding for research.

O*NET Task ID 22260

1.0
Study objects and structures recovered by excavation to identify, date, and authenticate them and to interpret their significance.

O*NET Task ID 22231

0.5
Collect information and make judgments through observation, interviews, and review of documents.

O*NET Task ID 22232

0.5
Research, survey, or assess sites of past societies and cultures in search of answers to specific research questions.

O*NET Task ID 22233

0.5
Describe artifacts' physical properties or attributes, such as the materials from which artifacts are made and their size, shape, function, and decoration.

O*NET Task ID 22235

0.5
Plan and direct research to characterize and compare the economic, demographic, health care, social, political, linguistic, and religious institutions of distinct cultural groups, communities, and organizations.

O*NET Task ID 22236

0.5
Compare findings from one site with archeological data from other sites to find similarities or differences.

O*NET Task ID 22237

0.5
Record the exact locations and conditions of artifacts uncovered in diggings or surveys, using drawings and photographs as necessary.

O*NET Task ID 22238

0.5
Assess archeological sites for resource management, development, or conservation purposes and recommend methods for site protection.

O*NET Task ID 22239

0.5
Collect artifacts made of stone, bone, metal, and other materials, placing them in bags and marking them to show where they were found.

O*NET Task ID 22241

0.0
Develop intervention procedures, using techniques such as individual and focus group interviews, consultations, and participant observation of social interaction.

O*NET Task ID 22247

0.0
Lead field training sites and train field staff, students, and volunteers in excavation methods.

O*NET Task ID 22249

0.0
Clean, restore, and preserve artifacts.

O*NET Task ID 22251

0.0
Conduct participatory action research in communities and organizations to assess how work is done and to design work systems, technologies, and environments.

O*NET Task ID 22252

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

職業情報