Record information about suspects or criminals.
Detailed work activity
Record information about suspects or criminals. is a detailed work activity in O*NET — a concrete unit of work shared across 5 occupations and seen in 8 occupation-specific tasks. It rolls up into the broader work activity Record information about legal matters. in Documenting/Recording Information .
Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.
AI exposure
Of the 7 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 6 (86%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.
Member tasks
Occupation-specific tasks O*NET maps to this detailed work activity, most important first.
- Prepare and maintain reports of investigation results, and records of convicted arsonists and arson suspects. · Fire Inspectors and Investigators · importance 4.9 · direct LLM exposure
- Record progress of investigation, maintain informational files on suspects, and submit reports to commanding officer or magistrate to authorize warrants. · Detectives and Criminal Investigators · importance 4.5 · direct LLM exposure
- Record information, such as prisoner identification, charges, and incidents of inmate disturbance, keeping daily logs of prisoner activities. · Correctional Officers and Jailers · importance 4.5 · direct LLM exposure
- Maintain records of prisoners' identification and charges. · Correctional Officers and Jailers · importance 4.4 · direct LLM exposure
- Process prisoners, and prepare and maintain records of prisoner bookings and prisoner status during booking and pre-trial process. · Police and Sheriff's Patrol Officers · importance 4.4 · exposure with tools
- Process or book convicted individuals into prison. · Correctional Officers and Jailers · importance 4.2 · no direct exposure
- Establish criminal profiles to aid in connecting criminal organizations with their members. · Intelligence Analysts · importance 4.1 · exposure with tools
- Take fingerprints. · 33-3021.02
Occupations that perform this
- Fire Inspectors and Investigators
- Detectives and Criminal Investigators
- Correctional Officers and Jailers
- Police and Sheriff's Patrol Officers
- 33-3021.02
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Record information about suspects or criminals.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/record-information-about-suspects-or-criminals
Singulariki. (2026). Record information about suspects or criminals.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/record-information-about-suspects-or-criminals
@misc{singulariki-record-information-about-suspects-or-criminals,
title = {Record information about suspects or criminals.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/detailed-activities/record-information-about-suspects-or-criminals}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.