Some aspects of the impact of artificial intelligence on decision making processes [Articol]

Abstract

Purpose of the article: researching aspects of the impact of artificial intelligence on decision-making processes. Methodology: the paper used mixed method research, a combination of quantitative and qualitative approaches for a more in-depth and valid analysis. The use of mixed method is argued by the fact that the impact of AI is not limited to numbers (speed, accuracy), but also to perception, trust, human behavior – which requires interviews and a certain context. Conclusions: Artificial intelligence (AI) does not just automate decision-making processes – it changes the very nature of this process: from intuitive and hierarchical to analytical, distributive and data-driven. However, the success of the decision-making process does not only depend on technology, but also on how organizations integrate AI into their processes, culture and management systems. The future is human-centered AI, where technology amplifies, complements but does not replace human intelligence. Originality: Unlike most studies that focus on the effectiveness of AI as a tool applied in decision-making, this paper analyzes in a local context, with in Moldovan organizations, how the explainability of algorithms affects the trust of middle-level managers, which, in turn, determines the real effectiveness of AI implementation in decision-making processes.