A matter of perspective: differential evaluations of artificial intelligence between managers and staff in an experimental simulation

Hsini Huang, Kyoung Cheol Kim, Matthew M. Young, Justin B. Bullock

Research output: Contribution to journalArticlepeer-review

Abstract

This article tests whether managers and staff evaluate artificial intelligence (AI)-based process innovations differently. Scholars have argued perceptions of innovation vary systematically as a function of an individual’s position within organisations. We test for attitudinal differences between managers and staff via an online experimental simulation fielded among working-age Taiwanese citizens employed in public sector employment (n = 600). Respondents engage in a 12-round simulation. We experimentally vary whether the respondent receives support from an AI decision support tool. We assess pre-intervention and post-intervention attitudes towards the use of AI for a suite of organisational tasks, using a difference-in-difference estimation approach to identify the causal effect of organisational position on innovation evaluation. Our findings suggest managers are more supportive of AI as a decision support tool than staff, and remain so after the simulation. Managers also increased their support of AI tools to a larger degree than staff.

Original languageEnglish (US)
JournalAsia Pacific Journal of Public Administration
DOIs
StateAccepted/In press - 2021

Keywords

  • AI attitudes
  • artificial discretion
  • artificial intelligence
  • discretion
  • innovation
  • management

ASJC Scopus subject areas

  • Public Administration

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