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Which Type of AI ‐Based Public Services Are Citizens More Willing to Accept?

PAR

2026-06-04

Original

Which Type of AI ‐Based Public Services Are Citizens More Willing to Accept?

Qing Miao, Lin Han Yu

Abstract

ABSTRACT While AI is reshaping public services, the acceptance of diverse AI‐based public service innovations by citizens has not been fully examined. This study conducted a video‐based experiment involving 2254 citizens and four types of AI: mechanical, empathetic, analytical, and intuitive. The results show that mechanical AI was significantly more accepted by citizens, whereas empathetic AI was significantly less accepted. Acceptance of the other two types of AI was moderate, with no significant differences found between them. AI types affected acceptance through two paths: perceived usefulness and novelty. The mediating effect of AI's perceived usefulness was found to be stronger than its novelty. Furthermore, citizens' trust in the government positively moderated the impact of the perceived novelty of AI. Thus, we recommend that governments adopt a gradual promotion strategy when introducing AI‐based public services.

中文

公民更愿意接受哪一类基于人工智能的公共服务?

Qing Miao, Lin Han Yu

摘要

摘要 尽管人工智能正在重塑公共服务,但公民对多样化人工智能公共服务创新的接受度尚未得到充分考察。本研究开展了一项基于视频的实验,涉及2254名公民和四种类型的人工智能:机械型、共情型、分析型和直觉型。结果表明,机械型人工智能显著更受公民接受,而共情型人工智能的接受度显著更低。其他两类人工智能的接受度处于中等水平,二者之间未发现显著差异。人工智能类型通过两条路径影响接受度:感知有用性和新颖性。人工智能感知有用性的中介效应强于其新颖性。此外,公民对政府的信任正向调节了人工智能感知新颖性的影响。因此,我们建议政府在引入人工智能公共服务时采取渐进式推广策略。

关键词

人工智能、公共服务、公民接受度、感知有用性、感知新颖性、政府信任、视频实验、渐进式推广