侦探和调查员
保护服务AI暴露度
- 数据来源: BLS发布时间: 2026-08
高· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别（低 / 中等 / 高 / 很高）
以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: 2026-03
0.037
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.23
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 80%。
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。
Task-level exposure
显示隐藏的 83 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Examine immigration applications, visas, and passports and interview persons to determine eligibility for admission, residence, and travel in the U.S.33-3021 | 0.037155.1 | 0.004312.5 |
Design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools.33-3021 | 0.007511.1 | 0.007120.4 |
Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases.33-3021 | 0.00517.5 | 0.00287.9 |
Gather intelligence information by field observation, confidential information sources, or public records.33-3021 | 0.00466.8 | —0 |
Manage security programs designed to protect personnel, facilities, and information.33-3021 | 0.00365.4 | 0.012034.5 |
Prepare comprehensive written reports, presentations, maps, or charts based on research, collection, and analysis of intelligence data.33-3021 | 0.00314.6 | —0 |
Prepare charges or responses to charges, or information for court cases, according to formalized procedures.33-3021 | 0.00284.2 | —0 |
Inspect cargo, baggage, and personal articles entering or leaving U.S. for compliance with revenue laws and U.S. customs regulations.33-3021 | 0.00213.1 | —0 |
Analyze completed police reports to determine what additional information and investigative work is needed.33-3021 | 0.00162.3 | —0 |
Provide protection for individuals, such as government leaders, political candidates, and visiting foreign dignitaries. | —0 | 0.00247.0 |
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 |
|---|---|
Record progress of investigation, maintain informational files on suspects, and submit reports to commanding officer or magistrate to authorize warrants.O*NET Task ID 23024 | 1.0 |
Prepare reports that detail investigation findings.O*NET Task ID 23029 | 1.0 |
Notify, or request notification of, medical examiner or district attorney representative.O*NET Task ID 23044 | 1.0 |
Obtain facts or statements from complainants, witnesses, and accused persons and record interviews, using recording device.O*NET Task ID 23022 | 0.5 |
Prepare charges or responses to charges, or information for court cases, according to formalized procedures.O*NET Task ID 23025 | 0.5 |
Preserve, process, and analyze items of evidence obtained from crime scenes and suspects, placing them in proper containers and destroying evidence no longer needed.O*NET Task ID 23026 | 0.5 |
Note, mark, and photograph location of objects found, such as footprints, tire tracks, bullets and bloodstains, and take measurements of the scene.O*NET Task ID 23028 | 0.5 |
Examine records and governmental agency files to find identifying data about suspects.O*NET Task ID 23030 | 0.5 |
Provide information to lab personnel concerning the source of an item of evidence and tests to be performed.O*NET Task ID 23032 | 0.5 |
Analyze completed police reports to determine what additional information and investigative work is needed.O*NET Task ID 23033 | 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