生物信息学家
生命、物理与社会科学AI暴露度
- 数据来源: BLS发布时间: 2026-08
很高· 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
0.479
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
0.40
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 39%。
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 2 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Translate data into numbers, equations, flow charts, graphs, or other forms.15-2091 | 0.016465.6 | 0.016232.8 |
Process data for analysis, using computers.15-2091 | 0.006325.2 | 0.025651.8 |
Apply standardized mathematical formulas, principles, and methodology to the solution of technological problems involving engineering or physical science.15-2091 | 0.00239.2 | —0 |
Modify standard formulas so that they conform to project needs and data processing methods. | —0 | 0.007615.4 |
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 |
|---|---|
Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.O*NET Task ID 17706 | 1.0 |
Monitor database performance and perform any necessary maintenance, upgrades, or repairs.O*NET Task ID 17708 | 1.0 |
Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.O*NET Task ID 17709 | 1.0 |
Create data management or error-checking procedures and user manuals.O*NET Task ID 17711 | 1.0 |
Design or implement web-based tools for querying large-scale biological databases.O*NET Task ID 17712 | 1.0 |
Develop or apply data mining and machine learning algorithms.O*NET Task ID 17713 | 1.0 |
Document all database changes, modifications, or problems.O*NET Task ID 17714 | 1.0 |
Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.O*NET Task ID 17715 | 1.0 |
Participate in the preparation of reports or scientific publications.O*NET Task ID 17717 | 1.0 |
Test new or updated software or tools and provide feedback to developers.O*NET Task ID 17718 | 1.0 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page