The Role Of Artificial Intelligence In Enhancing Decision Making Processes

Abstract

This study analyses the groundbreaking nature of Artificial Intelligence in financial risk management decision-making process improvement. Based on primary data obtained from 100 professionals, such as financial analysts, risk managers, data scientists, and researchers, the research delves into AI's effect on operational efficiency, predictive ability, and organizational resilience. The data, however, is analysed in terms of factor analysis and Chi-square tests based on a structured questionnaire utilising 5-point Likert scale. The more manual labor AI reduces and the more its prediction and accuracy it gives rise to an effective machinebrain collaboration. This will further assist decision-making along with AI-generated knowledge and mitigate any human biases towards any sort of financial risks. The study is calling for appropriate training programs and assurance around the privacy of data to foster the helpful employment of AI tools. Yet these hurdles must be addressed for continued improvements of cost, accessibility, and ethical concerns. These results underscore the strategic relevance of AI in enhancing innovation and resilience in financial risk management, while also indicating potential avenues for future exploration.).