IS WORK OVER?

Automation index

How much of a Crime scene technician’s job can AI already do?

A trace protocol comes earlier. Not contaminating the scene so it holds up in court do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Crime scene technician

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
Inspection, photos and the scene sketch.
Estimate

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

16%36%+5.8
Collect traces, prints and the DNA that gets walked on.
Estimate

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

18%12%+2.2
Chain of custody, labels and the lab.
Estimate

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

16%32%+5.1
Report, reconstruction and the file.
Estimate

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

16%28%+4.5
The dirty scene, the rush and the one who enters ungloved.
Estimate

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

18%18%+3.2
That it holds in court, and not breaking the chain.
Estimate

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

16%14%+2.2
Total100%23%

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

Skills and activities

  • collect traces
  • fingerprints
  • chain of custody
  • photograph scenes
  • forensic DNA
  • scene sketch
  • police lab
  • not contaminate

Sources for this job· O*NET 19-4092.00· ESCO/ISCO 3119

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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