Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocol
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 i...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Social Sciences and Humanities Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590291125005984 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849225275626225664 |
|---|---|
| author | Zhu Yuxuan Wan Mohd Hirwani Wan Hussain |
| author_facet | Zhu Yuxuan Wan Mohd Hirwani Wan Hussain |
| author_sort | Zhu Yuxuan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ac1263f67e2e4eedb9faaaaf6c4e127f |
| institution | Kabale University |
| issn | 2590-2911 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Social Sciences and Humanities Open |
| spelling | doaj-art-ac1263f67e2e4eedb9faaaaf6c4e127f2025-08-25T04:14:46ZengElsevierSocial Sciences and Humanities Open2590-29112025-01-011210187010.1016/j.ssaho.2025.101870Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocolZhu Yuxuan0Wan Mohd Hirwani Wan Hussain1Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, 43600, MalaysiaCorresponding author.; Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, 43600, MalaysiaArtificial 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.http://www.sciencedirect.com/science/article/pii/S2590291125005984AI awarenessHuman-AI collaborationBehavioral theoryCross-cultural AISPAR-4-SLR |
| spellingShingle | Zhu Yuxuan Wan Mohd Hirwani Wan Hussain Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocol Social Sciences and Humanities Open AI awareness Human-AI collaboration Behavioral theory Cross-cultural AI SPAR-4-SLR |
| title | Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocol |
| title_full | Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocol |
| title_fullStr | Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocol |
| title_full_unstemmed | Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocol |
| title_short | Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocol |
| title_sort | artificial intelligence ai awareness 2019 2025 a systematic literature review using the spar 4 slr protocol |
| topic | AI awareness Human-AI collaboration Behavioral theory Cross-cultural AI SPAR-4-SLR |
| url | http://www.sciencedirect.com/science/article/pii/S2590291125005984 |
| work_keys_str_mv | AT zhuyuxuan artificialintelligenceaiawareness20192025asystematicliteraturereviewusingthespar4slrprotocol AT wanmohdhirwaniwanhussain artificialintelligenceaiawareness20192025asystematicliteraturereviewusingthespar4slrprotocol |