Artificial Intelligence Shaping Financial Decision Making and Administrative Efficiency
DOI:
https://doi.org/10.71202/paper51Abstract
This systematic review explores the disruptive impact of artificial intelligence (AI) technologies on financial decision-making mechanisms and management efficiency. Grounded on careful analysis of 87 court studies between 2018 and 2024, we discover significant applications of AI across financial sectors, measure their performance indicators, and assess implementation challenges. Our findings demonstrate that machine learning algorithms, particularly deep learning and group methods, significantly outperform conventional statistical models in predictive financial tasks, with accuracy gains of 12% to 24%. Natural language processing applications exhibit dramatic efficiency gains in document processing (68% reduction in processing time on average) and regulatory compliance. We also discuss key ethical concerns, such as algorithm transparency, data privacy, and fairness. This article provides an organized overview of the current state of AI deployment in finance operations and propounds directions for future research and pragmatic deployment models.
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