The integration of Artifcial Intelligence (AI) in fnancial and organizational systems has transformed traditionalapproaches to risk assessment and fraud detection. Advanced machine learning algorithms, natural language processing,and anomaly detection models enable organizations to identify complex patterns and irregularities in real time, signifcantlyenhancing the accuracy of risk profling and fraud prevention. AI-driven solutions not only improve efciency by reducingmanual errors but also adapt dynamically to evolving fraudulent schemes, thereby strengthening fnancial security.However, challenges such as data privacy concerns, algorithmic bias, and the need for transparent governance remaincritical issues for sustainable adoption. This study explores the impact of AI technologies on risk assessment and frauddetection, highlighting their potential benefts, limitations, and implications for future fnancial and organizational stability.
| Mualliflar | Odilov Dilshod Qudratilla ugli |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2025-09-01 |
| Jild | 1 |
| Son | 9 |
| Betlar | 17-25 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.17447942 |
DOI: 10.5281/zenodo.17447942 · Maqolaning asl sahifasi
Artifcial Intelligence (AI); Risk Assessment; Fraud Detection; Machine Learning; Anomaly Detection; Financial Security; Algorithmic Bias; Data Privacy; Predictive Analytics; Governance.
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