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AI暴露度

  • 数据来源: BLS发布时间: 2026-08

    中等· 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

    来源数据集(XLSX 文件下载)

  • 数据来源: Anthropic发布时间: 2026-03

    0.000

    0.000此处所载数值的范围0.745
    尺度 · 母数 · 来源

    观测暴露度指数,按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

  • 数据来源: ILO发布时间: 2025

    0.20

    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 86%。

    来源数据集

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

仅显示有暴露的工作

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
Respond to and make radio dispatch calls regarding parking violations and complaints.

O*NET Task ID 7939

1.0
Enter and retrieve information pertaining to vehicle registration, identification, and status, using hand-held computers.

O*NET Task ID 7951

1.0
Prepare and maintain required records, including logs of parking enforcement activities, and records of contested citations.

O*NET Task ID 7953

1.0
Assign and review the work of subordinates.

O*NET Task ID 7956

1.0
Write warnings and citations for illegally parked vehicles.

O*NET Task ID 7937

0.5
Identify vehicles in violation of parking codes, checking with dispatchers when necessary to confirm identities or to determine whether vehicles need to be booted or towed.

O*NET Task ID 7941

0.5
Observe and report hazardous conditions, such as missing traffic signals or signs, and street markings that need to be repainted.

O*NET Task ID 7943

0.5
Investigate and answer complaints regarding contested parking citations, determining their validity and routing them appropriately.

O*NET Task ID 7944

0.5
Provide information to the public regarding parking regulations and facilities, and the location of streets, buildings and points of interest.

O*NET Task ID 7946

0.5
Locate lost, stolen, and counterfeit parking permits, and take necessary enforcement action.

O*NET Task ID 7954

0.5
Patrol an assigned area by vehicle or on foot to ensure public compliance with existing parking ordinance.

O*NET Task ID 7935

0.0
Maintain close communications with dispatching personnel, using two-way radios or cell phones.

O*NET Task ID 7936

0.0
Mark tires of parked vehicles with chalk and record time of marking, and return at regular intervals to ensure that parking time limits are not exceeded.

O*NET Task ID 7938

0.0
Train new or temporary staff.

O*NET Task ID 7940

0.0
Perform simple vehicle maintenance procedures, such as checking oil and gas, and report mechanical problems to supervisors.

O*NET Task ID 7942

0.0
Maintain assigned equipment and supplies, such as hand-held citation computers, citation books, rain gear, tire-marking chalk, and street cones.

O*NET Task ID 7945

0.0
Appear in court at hearings regarding contested traffic citations.

O*NET Task ID 7947

0.0
Make arrangements for illegally parked or abandoned vehicles to be towed, and direct tow-truck drivers to the correct vehicles.

O*NET Task ID 7948

0.0
Perform traffic control duties such as setting up barricades and temporary signs, placing bags on parking meters to limit their use, or directing traffic.

O*NET Task ID 7949

0.0
Provide assistance to motorists needing help with problems, such as flat tires, keys locked in cars, or dead batteries.

O*NET Task ID 7950

0.0
Collect coins deposited in meters.

O*NET Task ID 7952

0.0
Wind parking meter clocks.

O*NET Task ID 7955

0.0
Remove handbills within patrol areas.

O*NET Task ID 7957

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

职业信息