Human-AI Interaction in Decision-Making: A Systematic Literature Review and Future Directions
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©2025 IADIS. This manuscript version is made available under the Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY–NC–ND 4.0) license, https://creativecommons.org/licenses/by-nc-nd/4.0/
AI helps organizations in decision-making by enhancing data analysis, predictive modelling, and providing insights. However, gaps remain in understanding the phenomenon from a socio-technical aspect. By systematically reviewing 77 articles, the study identifies 21 elements impacting decision-making across six dimensions and suggests future research on task complexity, culture, and ethical frameworks.
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Proceedings of the IS 2025 + ES 2025
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