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A/KAI Kills What?

Task // O*NET task

Low exposure · 1 occupations · 0 evidence

Investigate employment practices or alleged violations of laws to document and correct discriminatory factors.

Investigate employment practices or alleged violations of laws to document and correct discriminatory factors.

Task automation exposure

30/100

Low exposure

Exposure basis

[v4/median] score 30 (raw 30 | A 40 / B 15 / C 30 | modality: other) AI can efficiently analyze policies, data, and legal texts and draft investigative reports, but lacks the human judgment needed for interviews, credibility assessment, and nuanced legal interpretation. (capable: Large Language Model (e.g., GPT-4) with data analytics capabilities)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 30 (raw 30 | A 40 / B 15 / C 30 | modality: other) AI can efficiently analyze policies, data, and legal texts and draft investigative reports, but lacks the human judgment needed for interviews, credibility assessment, and nuanced legal interpretation. (capable: Large Language Model (e.g., GPT-4) with data analytics capabilities)

Automation exposure30/100

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 Investigate employment practices or alleged violations of laws to document and correct discriminatory factors., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
Equal Opportunity Representatives and OfficersCross-industry4.7/5core12

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.