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A/KAI Kills What?

Task // O*NET task

Very low exposure · 1 occupations · 0 evidence

Collect data through surveys or experimentation.

Collect data through surveys or experimentation.

Task automation exposure

5/100

Very low exposure

Exposure basis

[v4/median] score 5 (raw 5 | A 5 / B 5 / C 5 | modality: other) While AI can assist in survey design and data cleaning, the core task of collecting data through physical experimentation or in-person surveys requires human presence, manual dexterity, and direct interaction with subjects or equipment, which is not widely automated in profession (capable: None - human-led)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 5 (raw 5 | A 5 / B 5 / C 5 | modality: other) While AI can assist in survey design and data cleaning, the core task of collecting data through physical experimentation or in-person surveys requires human presence, manual dexterity, and direct interaction with subjects or equipment, which is not widely automated in profession (capable: None - human-led)

Automation exposure5/100

How much of this task's output current AI can produce or substantially assist.

Strongest applicable capability0/100

Best current model strength on any capability this task requires.

This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.

Occupations

Occupations that perform this task (1)

Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.

Occupations performing Collect data through surveys or experimentation., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
BiostatisticiansCross-industry3.6/5core12

Evidence

Evidence (0)

No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.