Spar平台
协议(科学)
系统回顾
工程类
航空学
计算机科学
医学
梅德林
海洋工程
政治学
病理
替代医学
法学
作者
Zhu Yuxuan,Wan Mohd Hirwani Wan Hussain
标识
DOI:10.1016/j.ssaho.2025.101870
摘要
Artificial intelligence is rapidly transforming society, necessitating comprehensive understanding of stakeholder awareness across cognitive, behavioral, and ethical dimensions. This systematic review examines the evolution of AI awareness research and identifies critical knowledge gaps for future investigation. Using the SPAR-4-SLR protocol augmented by the Seven Research Gaps framework, we analyzed 71 peer-reviewed papers from 2019 to 2025 through integrated theoretical lenses. Results reveal overwhelming emphasis on workforce dynamics in developed regions, with 61 % of studies concentrated in China and the United States, while consumers, investors, and emerging economies remain neglected. We establish AI awareness as a dynamic consciousness process preceding technology adoption behavioral decisions and identify ''job insecurity'' as a dominant theme, alongside systematic ethical deficits in 83 % of studies. Geographic bias toward technologically advanced countries and disciplinary fragmentation limit research generalizability. The findings necessitate international AI governance frameworks, mandatory literacy programs, and standardized assessment tools to ensure equitable global AI adoption and bridge existing technological divides.
科研通智能强力驱动
Strongly Powered by AbleSci AI