Will AI replace Transit and Railroad Police?
Estimated risk score: 30 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (11 to 49).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 33-3052.00 · Protective Service
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 14 rated tasks. In O*NET’s words.
- Prepare reports documenting investigation activities and results.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 8 of its 14 rated tasks; the first 6 are shown. In O*NET’s words.
- Apprehend or remove trespassers or thieves from railroad property or coordinate with law enforcement agencies in apprehensions and removals.
- Direct security activities at derailments, fires, floods, or strikes involving railroad property.
- Patrol railroad yards, cars, stations, or other facilities to protect company property or shipments and to maintain order.
- Enforce traffic laws regarding the transit system and reprimand individuals who violate them.
- Monitor transit areas and conduct security checks to protect railroad properties, patrons, and employees.
- Provide training to the public or law enforcement personnel in railroad safety or security.
What the job is
Protect and police railroad and transit property, employees, or passengers.
Also called: Railroad Police, Transit Police Officer, Railroad Police Officer, Patrol Man, K-9 Officer, Track Patrol, Track Watchman, Transit Officer.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate