Factors of the Use of AI Technology Influencing Community Security in UAE

IF 0.6 Q4 CONSTRUCTION & BUILDING TECHNOLOGY
Amna Ali Abdulla Mohammed Almakki Alhajeri, Edie Ezwan Mohd Safian
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Abstract

This paper presents a study on addressing 27 factors of the use of AI technology influencing community security in UAE. The factors are categorised in five groups namely AI Ethics; Compatibility; Complexity; Management support; and Staff Capability. This study used a questionnaire survey with the Abu Dhabi Police department as a case study for community security. The survey managed to 138 valid responses and analysed descriptively. In deciding the level of influence. It was found that 16 of the factors are having very high influence while the others are having high influence. In ranking analysis, it was found that the highest rank of AI technology's factors influence community security in each group is for compatibility (COMPA5), which underscores the harmony between an individual's skills and the employed AI technologies; complexity (COMPLEX2), highlighting the efficiency of AI-driven systems, particularly in rapid knowledge acquisition through online conferencing; management support (MS4), spotlighting the proactive endorsement and direction from organizational management in AI security technology implementation; ethics of AI (ETH3), accentuating the individual's commitment to ethical considerations while employing AI security technologies; and staff capability (SC2), which reflects the individual's proficiency and competence in effectively harnessing AI technologies for enhanced community security measures. Collectively, these factors shed light on the multifaceted ways AI technologies impact and shape the realm of UAE community security.
人工智能技术使用影响阿联酋社区安全的因素
本文提出了一项关于解决使用人工智能技术影响阿联酋社区安全的27个因素的研究。这些因素被分为五类:人工智能伦理;兼容性;复杂性;管理支持;和员工能力。本研究采用问卷调查与阿布扎比警察局作为社区安全的案例研究。调查设法得到138个有效答复,并进行了描述性分析。决定影响的程度。结果发现,其中16个因素具有非常高的影响,而其他因素具有很高的影响。在排名分析中发现,各群体中影响社区安全的人工智能技术因素排名最高的是兼容性(COMPA5),这强调了个人技能与所采用的人工智能技术之间的和谐;复杂性(COMPLEX2),强调人工智能驱动系统的效率,特别是通过在线会议快速获取知识;管理支持(MS4),强调组织管理对人工智能安全技术实施的积极认可和指导;人工智能伦理(ETH3),强调个人在使用人工智能安全技术时对道德考虑的承诺;员工能力(SC2),反映个人在有效利用人工智能技术加强社区保安措施方面的熟练程度和能力。总的来说,这些因素揭示了人工智能技术影响和塑造阿联酋社区安全领域的多方面方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.90
自引率
20.00%
发文量
25
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