AI Reports · Stanford Digital Economy Lab · 2026-10-26 · Research paper
TaskNet: Building Occupational Task Inventories from Worker Interviews at Scale - Stanford Digital Economy Lab
Stanford's TaskNet is an occupational taxonomy built from workers' own accounts of their daily work. A mixed-initiative system conducts interviews, standardizes the reports into individual task lists, and aggregates them into occupational task inventories. Applied to six occupations, it produced 202 task statements from 2,726 reports, covering 75% of the 118 published O*NET tasks while adding 79 new tasks and refining 58 existing ones.