AI exposure: Police Identification and Records Officers
Collect evidence at crime scene, classify and identify fingerprints, and photograph evidence for use in criminal and civil cases.
Reading this score
computedAt 13.5% of weighted task load, Police Identification and Records Officers sits at the 21th percentile, below the point where a job's centre of gravity has moved. 73.8% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is verification cost. Across this occupation's 16 tasks it averages 2.41 out of 3, the highest of the five friction dimensions. In plain terms, checking the output costs more than producing it. Where an undetected error is expensive, dangerous or irreversible, the economics change. Someone has to verify the work, and verifying can cost as much as doing it. This is the friction most likely to fall as tools for checking improve.
The most exposed thing this job does is Maintain records of evidence and write and review reports, at 58.3%. The least is Interview survivors, witnesses, suspects, and other law enforcement personnel, at 0.0%. A gap of 58.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within protective service occupations, this one is less exposed than the median of 18.9% across the group's 26 roles, with 22 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 16 tasks, 4 are currently banded exposed, 2 assisted and 10 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.09 | 0-4 |
| Embodiment | 1.97 | 0-3 |
| Presence | 1.88 | 0-3 |
| Accountability | 2.16 | 0-3 |
| Context | 2.12 | 0-3 |
| Verification cost | 2.41 | 0-3 |
Task by task
16 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Maintain records of evidence and write and review reports. | 58.3% | 29.2% | 12.5% | 4.49 | exposed |
| Serve as technical advisor and coordinate with other law enforcement workers or legal personnel to exchange information on crime scene collection activities. | 40.0% | 35.0% | 25.0% | 3.69 | exposed |
| Create sketches and diagrams, by hand or computer software, to depict crime scenes. | 33.3% | 16.7% | 50.0% | 3.62 | exposed |
| Identify, compare, classify, and file fingerprints, using systems such as Automated Fingerprint Identification System (AFIS) or the Henry Classification System. | 32.5% | 42.5% | 25.0% | 4.26 | assisted |
| Coordinate or conduct instructional classes or in-services, such as citizen police academy classes and crime scene training for other officers. | 30.0% | 20.0% | 50.0% | 3.39 | exposed |
| Take fingerprints. | 23.3% | 26.7% | 50.0% | 3.97 | assisted |
| Photograph crime or accident scenes for evidence records. | 5.0% | 20.0% | 75.0% | 4.56 | untouched |
| Analyze and process evidence at crime scenes, during autopsies, or in the laboratory, wearing protective equipment and using powders and chemicals. | 3.3% | 21.7% | 75.0% | 4.23 | untouched |
| Submit evidence to supervisors, crime labs, or court officials for legal proceedings. | 0.0% | 0.0% | 100.0% | 4.44 | untouched |
| Testify in court and present evidence. | 0.0% | 0.0% | 100.0% | 4.43 | untouched |
| Look for trace evidence, such as fingerprints, hairs, fibers, or shoe impressions, using alternative light sources when necessary. | 0.0% | 0.0% | 100.0% | 4.33 | untouched |
| Dust selected areas of crime scene and lift latent fingerprints, adhering to proper preservation procedures. | 0.0% | 0.0% | 100.0% | 4.25 | untouched |
| Package, store and retrieve evidence. | 0.0% | 0.0% | 100.0% | 4.21 | untouched |
| Process film and prints from crime or accident scenes. | 0.0% | 0.0% | 100.0% | 4.09 | untouched |
| Perform emergency work during off-hours. | 0.0% | 0.0% | 100.0% | 3.88 | untouched |
| Interview survivors, witnesses, suspects, and other law enforcement personnel. | 0.0% | 0.0% | 100.0% | 3.81 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.