Factors Influencing Employees Trust in AI & its Adoption at Work: Evidence from United Arab Emirates

I. Chaudhry, R. Paquibut, H. Chabchoub
{"title":"Factors Influencing Employees Trust in AI & its Adoption at Work: Evidence from United Arab Emirates","authors":"I. Chaudhry, R. Paquibut, H. Chabchoub","doi":"10.1109/ACIT57182.2022.9994226","DOIUrl":null,"url":null,"abstract":"UAE“s aspiration to be among the leading countries in artificial intelligence by 2031 calls for the identification of facilitators championing the adoption of this advanced technology in enterprises and government bodies across the country. The workforce is a major facilitator or barrier in new technology adoption at work. We need to determine if their trust in the new technology-with the competitive advantage of intelligence- influence their willingness to adopt them at work. This study investigates the impact of individual level (generation, gender, education, knowledge, skills) and organizational level (ownership type, business type) factors on employees' trust in artificial intelligence and its adoption at work. Six hundred and thirty- eight employees from both public and private sectors participated in the survey from the Emirates of Abu Dhabi. The findings confirmed significant influence of employees' generation, knowledge, and skills on their trust in Artificial Intelligence technology, subsequently influencing their intention to adopt the advanced technology at their respective workplaces. The findings have implications for government bodies formulating and implementing UAE's AI strategy in the region as well as for industry practitioners.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Arab Conference on Information Technology (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT57182.2022.9994226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

UAE“s aspiration to be among the leading countries in artificial intelligence by 2031 calls for the identification of facilitators championing the adoption of this advanced technology in enterprises and government bodies across the country. The workforce is a major facilitator or barrier in new technology adoption at work. We need to determine if their trust in the new technology-with the competitive advantage of intelligence- influence their willingness to adopt them at work. This study investigates the impact of individual level (generation, gender, education, knowledge, skills) and organizational level (ownership type, business type) factors on employees' trust in artificial intelligence and its adoption at work. Six hundred and thirty- eight employees from both public and private sectors participated in the survey from the Emirates of Abu Dhabi. The findings confirmed significant influence of employees' generation, knowledge, and skills on their trust in Artificial Intelligence technology, subsequently influencing their intention to adopt the advanced technology at their respective workplaces. The findings have implications for government bodies formulating and implementing UAE's AI strategy in the region as well as for industry practitioners.
影响员工对人工智能信任的因素及其在工作中的应用:来自阿拉伯联合酋长国的证据
阿联酋希望到2031年跻身人工智能领域的领先国家之列,这就要求确定支持在全国企业和政府机构中采用这种先进技术的促进者。劳动力是工作中采用新技术的主要推动者或障碍。我们需要确定,他们对新技术的信任——加上智力的竞争优势——是否会影响他们在工作中采用新技术的意愿。本研究调查了个人层面(年龄、性别、教育程度、知识、技能)和组织层面(所有权类型、业务类型)因素对员工对人工智能的信任及其在工作中的应用的影响。来自阿布扎比酋长国公共和私营部门的638名雇员参加了这项调查。研究结果证实,员工的年龄、知识和技能对他们对人工智能技术的信任有显著影响,进而影响他们在各自工作场所采用先进技术的意愿。这些发现对制定和实施阿联酋在该地区的人工智能战略的政府机构以及行业从业者都有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信