IS WORK OVER?

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

Prison 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.

TaskShareAIPoints
Logs, counts and files.
Estimate

No public source provides a precise figure. This is our estimate.

16%30%+4.8
Cameras, controls and internal comms.
Estimate

No public source provides a precise figure. This is our estimate.

14%22%+3.1
Rounds, searches and inmate movement.
Estimate

No public source provides a precise figure. This is our estimate.

22%6%+1.3
Contain incidents and use of force.
Estimate

No public source provides a precise figure. This is our estimate.

18%8%+1.4
Care, wings and daily mediation.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Coordinate with treatment, judges and families.
Estimate

No public source provides a precise figure. This is our estimate.

14%14%+2
Total100%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

Traffic engineer

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.

TaskShareAIPoints
Counts, the model and the microsim.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That the junction does not kill, and not painting extra.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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