Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity

Artificial intelligence (AI) is being increasingly used as a decision agent in enterprises. Employees’ appraisals and AI affect the smooth progress of AI–employee cooperation. This paper studies (1) whether employees’ challenge appraisals, threat appraisals and trust in AI are different for AI trans...

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Main Authors: Liangru Yu, Yi Li, Fan Fan
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Behavioral Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-328X/13/4/344
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author Liangru Yu
Yi Li
Fan Fan
author_facet Liangru Yu
Yi Li
Fan Fan
author_sort Liangru Yu
collection DOAJ
description Artificial intelligence (AI) is being increasingly used as a decision agent in enterprises. Employees’ appraisals and AI affect the smooth progress of AI–employee cooperation. This paper studies (1) whether employees’ challenge appraisals, threat appraisals and trust in AI are different for AI transparency and opacity. (2) This study investigates how AI transparency affects employees’ trust in AI through employee appraisals (challenge and threat appraisals), and (3) whether and how employees’ domain knowledge about AI moderates the relationship between AI transparency and appraisals. A total of 375 participants with work experience were recruited for an online hypothetical scenario experiment. The results showed that AI transparency (vs. opacity) led to higher challenge appraisals and trust and lower threat appraisals. However, in both AI transparency and opacity, employees believed that AI decisions brought more challenges than threats. In addition, we found the parallel mediating effect of challenge appraisals and threat appraisals. AI transparency promotes employees’ trust in AI by increasing employees’ challenge appraisals and reducing employees’ threat appraisals. Finally, employees’ domain knowledge about AI moderated the relationship between AI transparency and appraisals. Specifically, domain knowledge negatively moderated the positive effect of AI transparency on challenge appraisals, and domain knowledge positively moderated the negative effect of AI transparency on threat appraisals.
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spelling doaj.art-375a39fff0d543ca9bab55301127ea2c2023-11-17T18:21:24ZengMDPI AGBehavioral Sciences2076-328X2023-04-0113434410.3390/bs13040344Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and OpacityLiangru Yu0Yi Li1Fan Fan2School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaFaculty of Collaborative Regional Innovation, Ehime University, Matsuyama 790-8566, Ehime, JapanArtificial intelligence (AI) is being increasingly used as a decision agent in enterprises. Employees’ appraisals and AI affect the smooth progress of AI–employee cooperation. This paper studies (1) whether employees’ challenge appraisals, threat appraisals and trust in AI are different for AI transparency and opacity. (2) This study investigates how AI transparency affects employees’ trust in AI through employee appraisals (challenge and threat appraisals), and (3) whether and how employees’ domain knowledge about AI moderates the relationship between AI transparency and appraisals. A total of 375 participants with work experience were recruited for an online hypothetical scenario experiment. The results showed that AI transparency (vs. opacity) led to higher challenge appraisals and trust and lower threat appraisals. However, in both AI transparency and opacity, employees believed that AI decisions brought more challenges than threats. In addition, we found the parallel mediating effect of challenge appraisals and threat appraisals. AI transparency promotes employees’ trust in AI by increasing employees’ challenge appraisals and reducing employees’ threat appraisals. Finally, employees’ domain knowledge about AI moderated the relationship between AI transparency and appraisals. Specifically, domain knowledge negatively moderated the positive effect of AI transparency on challenge appraisals, and domain knowledge positively moderated the negative effect of AI transparency on threat appraisals.https://www.mdpi.com/2076-328X/13/4/344AI transparency trust inchallenge appraisalsthreat appraisalsemployees’ trust in AIdomain knowledge about AI
spellingShingle Liangru Yu
Yi Li
Fan Fan
Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity
Behavioral Sciences
AI transparency trust in
challenge appraisals
threat appraisals
employees’ trust in AI
domain knowledge about AI
title Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity
title_full Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity
title_fullStr Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity
title_full_unstemmed Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity
title_short Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity
title_sort employees appraisals and trust of artificial intelligences transparency and opacity
topic AI transparency trust in
challenge appraisals
threat appraisals
employees’ trust in AI
domain knowledge about AI
url https://www.mdpi.com/2076-328X/13/4/344
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