Eun Cheol Choi
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euncheolchoi.bsky.social
Eun Cheol Choi
@euncheolchoi.bsky.social
460 followers 1.4K following 6 posts
PhD student at USC Annenberg; LLMs / CSS / SNA; @ HUMANS Lab (http://www.emilio.ferrara.name/)
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euncheolchoi.bsky.social
Our code is open-source. With just a few lines of Python, anyone can measure AI exposure for any job description using our repository. (5/5)

Paper: workshop-proceedings.icwsm.org/abstract.php...
Repository: github.com/EunCheolChoi...
Our Python snippet for measuring wAII for a job posting, which is open-sourced.
June 26, 2025 at 4:30 PM
euncheolchoi.bsky.social
𝐖𝐡𝐚𝐭 𝐰𝐞 𝐟𝐨𝐮𝐧𝐝
1. Jobs in tech, manufacturing, and engineering are more exposed to AI; HR, public service, and legal sectors are less exposed
2. Exposure to AI shows distinct association patterns regarding offered salary depending on the industry sectors (4/5)
In the information industry sector, our wAII is “positively” associated with offered salary. On the other hand, in the wholesale trade industry sector, wAII is “negatively” associated with offered salary.
June 26, 2025 at 4:30 PM
euncheolchoi.bsky.social
To track this, we developed the Weighted AI Index (wAII), a scalable method to measure how closely a job’s tasks align with recent AI innovations.
We extract key job tasks from postings; compare them to AI-related patents; compute an “AI exposure” score. (3/5)
A diagram explaining how we extracted ‘tasks’ from each job post. A task is a role or a skillset that is essential for a job position. We query based on extracted tasks and retrieve the most similar AI-related patents in terms of semantic similarities. Weighted AI Index is calculated as the sum of the product between the task weight and the similarity of the task and the retrieved patent. Full LLM prompt for extracting tasks from a job post.
June 26, 2025 at 4:30 PM
euncheolchoi.bsky.social
𝐊𝐞𝐲 𝐢𝐝𝐞𝐚
AI doesn't affect all jobs equally. Some industries and roles are far more exposed to disruption from technological innovation than others. (2/5)
A bar chart comparing ‘weighted AI index (wAII)’ of different industry sectors. wAII is our proposed method of measuring how much a job position is exposed to AI technologies.
June 26, 2025 at 4:30 PM