{ "source": "Cooked Index — occupational AI risk register", "page": "https://cookedindex.com/jobs/transit-and-railroad-police/", "methodology": "https://cookedindex.com/methodology", "notice": "Verdicts are re-examined as evidence accumulates. Re-fetch before relying on this; the page above always carries the current score.", "scored_at": "2026-08-11", "model": "claude-opus-5", "occupation": { "title": "Transit and Railroad Police", "soc_code": "33-3052", "category": "Protective Service", "us_employment": 4390, "median_annual_wage": 90230 }, "verdict": "SAFE", "risk_resistance": 73, "contested": false, "near_boundary": false, "dimensions": { "task_resistance": 15, "embodiment": 18, "liability_shield": 14, "trust_premium": 11, "judgment_accountability": 15 }, "reasoning": { "task_resistance": "Physically removing an unresponsive person from a rail car, sweeping a yard for trespassers on live third-rail track, and cuffing a resisting subject on a moving train are the core duties — AI takes the incident narrative, the CAD entry and the camera monitoring, which is why this sits at 15 rather than 19.", "embodiment": "Shifts are spent on foot on platforms and ballast, in tunnels, on right-of-way with hostile weather, live traction current and moving equipment, plus grappling with people who do not want to be grappled with — an uncontrolled environment by any definition, held just below the ceiling only because some hours go to station posts and report writing.", "liability_shield": "These are sworn peace officers under state POST certification with railroad police commissions (49 U.S.C. 28101 for interstate authority); the officer's own name is on the arrest affidavit and the use-of-force report, and a bad stop lands on them personally in a §1983 suit — the 14 rather than 18 reflects that the agency indemnifies and the badge, not an individual practice, generates the work.", "trust_premium": "Regular commuters, station staff, conductors and yard crews come to rely on specific officers who know the homeless population and the local fare-evasion regulars, but riders do not choose their transit cop and most encounters are one-time — relationship helps the work, it isn't the product.", "judgment_accountability": "Deciding in seconds whether a man on the platform edge is suicidal, intoxicated or diabetic, whether to draw, and whether to hold or release a juvenile trespasser are unscripted high-stakes calls; general orders and use-of-force continua constrain the range enough to keep this at 15 rather than 19." }, "rationale": "The job is walking platforms, rail yards and train cars, intervening in fights and medical emergencies, clearing trespassers off track right-of-way, and making arrests — none of which a language model or current robot can do. AI does compress the paperwork side: incident reports, video review, crime-pattern mapping and fare-evasion analytics are already being automated, and smart camera systems reduce the number of officers needed for pure surveillance posts. What remains is a sworn, personally liable human who must decide in seconds whether to use force and then defend that call in court.", "outlook": "Headcount stays small and roughly flat as camera analytics absorb static surveillance posts, but the sworn officer who boards the train, restrains a subject, and testifies afterward is not going anywhere in ten years.", "what_would_raise_it": { "levers": [ { "dimension": "liability_shield", "change": "State POST (peace officer standards and training) rules or transit-agency policy requiring that any AI-flagged detection — gun detection, fare-evasion analytics, facial recognition hit — be independently corroborated and the arrest decision signed by a sworn officer, with the officer named as declarant on the probable-cause affidavit. Already partially in motion: several states (e.g. Utah, Washington, Maryland facial-recognition statutes) bar FRT matches as sole basis for arrest and require human corroboration; extension to transit weapons-detection pilots (NYC MTA Evolv trial) is the checkable step.", "plausibility": "already happening", "would_add": 3 }, { "dimension": "judgment_accountability", "change": "Task-mix shift: as camera-based monitoring absorbs static surveillance posts, the remaining deployment is response-only — use-of-force, crisis intervention, track-intrusion rescue. Formalized if a transit authority contract or FTA safety-management-system rule designates the officer as the accountable decision-maker for de-escalation and mental-health calls (Metro Transit and BART crisis-intervention specialist tiers are precedents).", "plausibility": "plausible", "would_add": 3 }, { "dimension": "task_resistance", "change": "Two-tier structure is real here: report writing, video review and pattern mapping are the routine tier; platform intervention and testimony are the judgment tier. If agencies formally reassign report-drafting and analytics to civilian analysts plus AI tools, the sworn role's remaining day is almost entirely non-automatable field work.", "plausibility": "already happening", "would_add": 2 }, { "dimension": "liability_shield", "change": "Union contract language (e.g. Amtrak FOP, MTA PBA, SEPTA TWU-adjacent police units) requiring minimum sworn-officer staffing per station or train consist independent of camera coverage — bargained headcount floors that survive surveillance buildout.", "plausibility": "plausible", "would_add": 2 } ], "ceiling_note": "Trust premium has no realistic route: riders do not choose their transit police and cannot pay for a human alternative, so the dimension is capped by the absence of a purchasing decision. Embodiment is already near ceiling at 18. The larger risk to this occupation is not AI capability but headcount: smart-camera justified staffing cuts and substitution of unsworn ambassadors/civilian analysts shrink the workforce even while each remaining job scores high." }, "adjudication": { "method": "two independent runs agreed on the verdict", "outcome": "corroborated", "run_totals": [ 73, 78 ], "run_verdicts": [ "SAFE", "SAFE" ] }, "employment_history": { "points": [ { "y": 2017, "emp": 5520, "wage": 70280 }, { "y": 2018, "emp": 4470, "wage": 74030 }, { "y": 2019, "emp": 4690, "wage": 71820 }, { "y": 2020, "emp": 3800, "wage": 72580 }, { "y": 2021, "emp": 3590, "wage": 64930 }, { "y": 2022, "emp": 3370, "wage": 69150 }, { "y": 2023, "emp": 2360, "wage": 72250 }, { "y": 2024, "emp": 3000, "wage": 82320 }, { "y": 2025, "emp": 4390, "wage": 90230 } ], "from": 2017, "to": 2025, "change_pct": -20.5, "comparable_from": 2019, "spans_soc_revision": true }, "pivots": [], "license": "https://cookedindex.com/terms" }