Automation index
How much of a Prison officer’s job can AI already do?
A log and a count come earlier. Opening a cell, and not losing face, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Prison officer
15%
AI can already do 15% of this job.
#634 / 643
View rankingPrison officer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Logs, counts and files.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Cameras, controls and internal comms.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Rounds, searches and inmate movement.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 6% | +1.3 |
Contain incidents and use of force.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 8% | +1.4 |
Care, wings and daily mediation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Coordinate with treatment, judges and families.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 15% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Logs, counts and files
- Cameras, controls and internal comms
- Rounds, searches and inmate movement
- Contain incidents and use of force
- Care, wings and daily mediation
- prisiones
- funcionario de prisiones
- carcelero
- prison officer
Sources for this job· O*NET 33-3012.00· ESCO/ISCO 5413
IS WORK OVER?
Epidemiologist
31%
#34 / 643
View rankingEpidemiologist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263