Automation index
How much of a Probation officer’s job can AI already do?
A reporting calendar comes earlier. Stopping reoffending and calling it when it turns do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Probation officer
24%
AI can already do 24% of this job.
#261 / 633
View rankingProbation 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 |
|---|---|---|---|
The order plan, reporting and the conditions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Visit, interview and what they do not say.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Reports to the judge and the breach.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Network, work and the resource that is not there.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The victim, the offender and not mixing roles.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Call it in time, and not dressing the follow-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- probation
- order plan
- reports to the judge
- breach of conditions
- follow-up visits
- sentence conditions
- reoffending
- periodic reporting
Sources for this job· O*NET 21-1092.00· ESCO/ISCO 2635
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120