ARTIFICIAL INTELLIGENCE: REQUESTS FOR STRATEGIC DECISION-MAKING STAGES

Abstract

Introduction. Modern economics and management are facing with increasingly complex decision-making processes, requiring new tools to enhance organizational performance. Artificial intelligence (AI) can become a key factor in improving the quality of management decisions thanks to its ability to process big data, identify hidden patterns, and minimize cognitive biases. However, integrating AI into organizational management requires appropriate consideration, including a reflection on its capabilities and limitations, as well as a content analysis of existing research findings. This underpins the relevance of this study, that amplifies when it comes to strategic decision-making in the development of socio-economic systems, including municipal entities. The aim of the study is to identify the demands placed on AI in strategic decision-making processes.

Materials and methods. The methodological basis of the study was formed by a systems approach and content analysis of scientific publications, a comparison and synthesis of research materials, a decision-making algorithm, a method for constructing morphological matrices and graphical models, as well as methods for interaction between humans and artificial intelligence.

Discussion Results. Popular and typical questions addressed to AI most often involve generating text messages and are aimed at translating, analyzing, or editing text. To improve the quality of AI responses to user queries, it is necessary not only to adhere to certain rules for query formation but also to engage in a dialogue with the AI to immerse deeper into the content of the solutions the user expects. Generally speaking, the structure of a query involves assigning the AI the role in which it will solve the assigned task, as well as communicating to it the problematic situation that corresponds to the context of the task being solved. Furthermore, the AI must be correctly formulated for the task itself, deliver the requirements for the expected solution, and the format of the expected solution itself. The specifics of queries reflect approaches that define various models and schools of strategy when developing promising solutions for organizational development. The paper demonstrates that the entire decision-making algorithm, from problem formulation to its resolution with AI, requires assigning it various roles and reflecting the specific context at each stage of the algorithm's implementation. Each stage requires formulating its own tasks and communicating to the AI the specific requirements corresponding to each stage. The specificity of the defined solution format prepared by the AI at each stage simplifies the implementation of the developed solution, reflecting the change in the problematic situation in the desired direction. The specifics of strategic decision-making using AI based on various schools of strategy have been identified. As an example, for one of the blocks of factors in constructing an organizational development strategy (the «development philosophy» block), the capabilities of AI to enhance the strengths and compensate the weaknesses of schools of strategy that can be attributed to this block of factors have been developed.

Conclusion. Although creative solutions require imagination, which AI lacks due to its reliance on massive amounts of data from past activities, the combination of AI and human capabilities will facilitate the identification of analogies that are not obvious to humans, and the realization of synergistic effects in this case will lead to the development of original solutions.  Furthermore, AI trained at using creative thinking methods is capable of automating problem analysis and identifying contradictions, selecting techniques and solution methods, thereby generating new concepts for the strategic development of organizations. It has been proposed to either execute AI queries entirely through the entire algorithm or to query the AI step by step and provide it with «helpful advice». Overall, AI is transforming the decision-making process, ensuring increased speed, accuracy, and resource savings. However, to successfully realize the benefits of AI, it is necessary to consider improving the digital literacy of decision-makers, aligning ethical standards for the use of AI, and maintaining a balance between the automation of decision-making procedures and human oversight of recommendations and proposed solutions. Further research may be aimed at solving problems of strategic planning in socio-economic systems and especially in modern Russian municipalities.