The interaction between rationality, politics and artificial intelligence in the decision-making process

Abstract

This review paper delves deeply into the intricate correlation between rational and political strategies in the decision-making process of information technology governance (ITG). The core focus is to understand how advanced technologies like artificial intelligence (AI), machine learning, and decision intelligence, when juxtaposed with traditional political decision-making methods and rational conceptualization (Cohen & Comesaña, 2023), coalesce within the ITG framework. The authors posit that while ITG’s decision-making can be influenced by AI, rationality, or politics, there’s a discernible alignment of managerial actions leveraging big data and machine learning with rational models, rather than political ones. Furthermore, the paper touches upon the power dynamics and strategic decision-making processes that often underpin ITG decisions. This research not only deepens the theoretical understanding but also provides pragmatic recommendations, making it invaluable for informed resource management in business management and ITG (Filgueiras, 2023). Through this exploration, stakeholders can better navigate the complexities of ITG, ensuring that technology aligns with organizational goals and strategies. As this paper identifies the power dynamics and strategic decision-making processes that often underpin ITG decisions, we can state that there was a discernible alignment of managerial actions leveraging big data and machine learning with rational models, rather than political ones.