食品安全专家
食品准备与服务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
0.204
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
0.26
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 76%。
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
| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Record or compile test results or prepare graphs, charts, or reports.19-4013 | 0.00000.0 | 0.00000.0 |
Compute moisture or salt content, percentages of ingredients, formulas, or other product factors, using mathematical and chemical procedures.19-4013 | 0.00000.0 | —0 |
Analyze test results to classify products or compare results with standard tables.19-4013 | 0.00000.0 | —0 |
| Not observed on any surface — 13 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Conduct standardized tests on food, beverages, additives, or preservatives to ensure compliance with standards and regulations regarding factors such as color, texture, or nutrients. | —0 | —0 |
Provide assistance to food scientists or technologists in research and development, production technology, or quality control. | —0 | —0 |
Taste or smell foods or beverages to ensure that flavors meet specifications or to select samples with specific characteristics. | —0 | —0 |
Examine chemical or biological samples to identify cell structures or to locate bacteria or extraneous material, using a microscope. | —0 | —0 |
Measure, test, or weigh bottles, cans, or other containers to ensure that hardness, strength, or dimensions meet specifications. | —0 | —0 |
Order supplies needed to maintain inventories in laboratories or in storage facilities of food or beverage processing plants. | —0 | —0 |
Maintain records of testing results or other documents as required by state or other governing agencies. | —0 | —0 |
Monitor and control temperature of products. | —0 | —0 |
Perform regular maintenance of laboratory equipment by inspecting, calibrating, cleaning, or sterilizing. | —0 | —0 |
Train newly hired laboratory personnel. | —0 | —0 |
Supervise other food science technicians. | —0 | —0 |
Mix, blend, or cultivate ingredients to make reagents or to manufacture food or beverage products. | —0 | —0 |
Prepare or incubate slides with cell cultures. | —0 | —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 |
|---|---|
Compute moisture or salt content, percentages of ingredients, formulas, or other product factors, using mathematical and chemical procedures.O*NET Task ID 7578 | 1.0 |
Record or compile test results or prepare graphs, charts, or reports.O*NET Task ID 7579 | 1.0 |
Analyze test results to classify products or compare results with standard tables.O*NET Task ID 7581 | 1.0 |
Maintain records of testing results or other documents as required by state or other governing agencies.O*NET Task ID 20394 | 1.0 |
Provide assistance to food scientists or technologists in research and development, production technology, or quality control.O*NET Task ID 7577 | 0.5 |
Examine chemical or biological samples to identify cell structures or to locate bacteria or extraneous material, using a microscope.O*NET Task ID 7583 | 0.5 |
Order supplies needed to maintain inventories in laboratories or in storage facilities of food or beverage processing plants.O*NET Task ID 7587 | 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