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TRUVACE RECORD VERSION
record: TRV-2026-2523
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T07:47:51.022279Z
status: published
lens: p_space
sector: crime
headline: Artificial intelligence, accountability mechanisms, and the transformation of street-level enforcement style: experimental evidence from frontline policing
dek: Artificial intelligence (AI) is increasingly used to support street-level enforcement, yet its impact on bureaucrats’ enforcement style under different accountability mechanisms remains understudied. To achieve this, we conducted a preregistered survey experiment in the context of honking violations with a representative sample of 356 street-level police officers. Results show that AI-supported enforcement shifts bureaucrats toward a more formal and coercive style while diminishing its educational component. Pro…
gain_title: (none)
problem_title: In a preregistered survey experiment with 356 street-level police officers handling honking violations, AI-supported enforcement shifted officers toward a more formal and coercive style and reduced the educational part of their approach.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: In a preregistered survey experiment with 356 street-level police officers handling honking violations, AI-supported enforcement shifted officers toward a more formal and coercive style and reduced the educational part of their approach.
problem_evidence: AI-supported enforcement shifts bureaucrats toward a more formal and coercive style while diminishing its educational component
quick_read: A preregistered survey experiment with a representative sample of 356 street-level police officers tested how AI support changes the way officers handle honking violations. Officers working with AI support leaned toward a more formal and coercive enforcement style, and the educational side of their approach shrank.

The study also compared two kinds of accountability. Process accountability led to a more educational, prioritization-focused and accommodative style, while outcome accountability reinforced a formal and coercive style.

The two factors interacted. Under process accountability, AI's effects grew stronger, adding to formalism and coercion and further weakening the educational approach. The findings come from a survey experiment on one type of violation, so they describe stated enforcement choices rather than observed street behaviour.
limitation: The evidence comes from a survey experiment on honking violations, so it measures officers' responses to a scenario in one enforcement context rather than real-world enforcement outcomes.
tag: Evidence-backed problem
key_points: The experiment was preregistered and used a representative sample of 356 street-level police officers. | The scenario was honking violations, a low-level traffic offence. | AI-supported enforcement moved officers toward a more formal and coercive style. | AI support reduced the educational component of enforcement. | Process accountability encouraged a more educational, prioritization-focused and accommodative style. | Outcome accountability reinforced a formal and coercive style. | Process accountability amplified AI's effects, adding formalism and coercion and weakening the educational approach.
rundown: The research looks at street-level bureaucrats, here frontline police officers, and how their enforcement style changes when AI supports enforcement. It uses a preregistered survey experiment built around honking violations, with 356 officers in a representative sample.

The main result is that AI support pushes officers toward formal, coercive enforcement and away from educating drivers. This matters because enforcement style shapes how rules are applied in everyday encounters with the public.

Accountability mechanisms changed the picture. Process accountability favoured educational, prioritization-focused and accommodative enforcement on its own, while outcome accountability favoured formal and coercive enforcement. When combined with AI, process accountability strengthened the AI effect instead of offsetting it.
sources:
- peer_reviewed | Global Public Policy and Governance | https://doi.org/10.1007/s43508-026-00146-y | 2026-06-01
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