Scholarlink

<p>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. Process accountability fosters a more educational, prioritization-focused, and accommodative style, whereas outcome accountability reinforces a more formal and coercive style. Moreover, process accountability intensifies AI’s effects, further reinforcing formalism and coercion while weakening the educational approach. Our findings advance the understanding of street-level enforcement style under the combined effects of AI and street-level accountability.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial intelligence, accountability mechanisms, and the transformation of street-level enforcement style: experimental evidence from frontline policing

  • 期刊论文

  • 发表日期：

    2026年7月3日

查看全文
  • Ge Wang,
  • Haixin Teng,
  • Zengyang Xu

摘要

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. Process accountability fosters a more educational, prioritization-focused, and accommodative style, whereas outcome accountability reinforces a more formal and coercive style. Moreover, process accountability intensifies AI’s effects, further reinforcing formalism and coercion while weakening the educational approach. Our findings advance the understanding of street-level enforcement style under the combined effects of AI and street-level accountability.