AI Automation Index

Will AI Replace Police Identification and Records Officers?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Police Identification and Records Officers. Run the upskilling simulator.

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• Developed & audited by Gini Loh

AI Vulnerability

47% risk score

Median Salary

$93,790 / year

Growth Demand

High

Constituent Task Mix

We parsed O*NET's 16 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 13%
Medium Automation Risk (Cognitive/Technical) 69%
Low Automation Risk (Strategy/Leadership) 18%

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constituent Tasks

Photograph crime or accident scenes for evidence records.

Routine cognitive or manual task with high vulnerability to automation.

Maintain records of evidence and write and review reports.

Routine cognitive or manual task with high vulnerability to automation.

Submit evidence to supervisors, crime labs, or court officials for legal proceedings.

Semi-structured task combining routine and non-routine responsibilities.

Testify in court and present evidence.

Semi-structured task combining routine and non-routine responsibilities.

Look for trace evidence, such as fingerprints, hairs, fibers, or shoe impressions, using alternative light sources when necessary.

Semi-structured task combining routine and non-routine responsibilities.

Dust selected areas of crime scene and lift latent fingerprints, adhering to proper preservation procedures.

Semi-structured task combining routine and non-routine responsibilities.

Analyze and process evidence at crime scenes, during autopsies, or in the laboratory, wearing protective equipment and using powders and chemicals.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Package, store and retrieve evidence.

Semi-structured task combining routine and non-routine responsibilities.

Process film and prints from crime or accident scenes.

Semi-structured task combining routine and non-routine responsibilities.

Take fingerprints.

Semi-structured task combining routine and non-routine responsibilities.

Perform emergency work during off-hours.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Serve as technical advisor and coordinate with other law enforcement workers or legal personnel to exchange information on crime scene collection activities.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Create sketches and diagrams, by hand or computer software, to depict crime scenes.

Semi-structured task combining routine and non-routine responsibilities.

Coordinate or conduct instructional classes or in-services, such as citizen police academy classes and crime scene training for other officers.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Identify, compare, classify, and file fingerprints, using systems such as Automated Fingerprint Identification System (AFIS) or the Henry Classification System.

Semi-structured task combining routine and non-routine responsibilities.

Interview survivors, witnesses, suspects, and other law enforcement personnel.

Semi-structured task combining routine and non-routine responsibilities.

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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