Artificial intelligence and managerial decision making

Abstract

Managerial decision-making has become complex in today's world, due to the accelerated development of technology, which causes decision makers to process large amounts of varied information immediately and face the possible consequences and inherent risks of this accelerated dynamism. Since, the information must be collected and interpreted correctly in order to conclude an ideal alternative. Faced with this problem that organizations experience, Artificial Intelligence (AI) has become an ideal ally in decision-making, as well as a possible replacement for the human decision-maker. Thus, the objective of this work is to identify the relationship between AI and decision-making in organizations. In this article, a systematic review of the literature was used as a methodology that allowed obtaining results aimed at the dependence that exists between AI and managerial decision-making, which is generating an accelerated automation of processes in business management. This leads to the reflection that, although there is strong competition in the business world that has led companies to seek means that generate immediate effectiveness and efficiency without anticipating the possible consequences, it should be aimed at obtaining a balanced relationship of AI and decision making.