Articles
| Open Access | METHODS OF USING ARTIFICIAL INTELLIGENCE IN THE ANALYTICAL MECHANISMS FOR DETERMINING THE RISKS OF LAW VIOLATIONS IN THE FIELD OF STATE EXPENDITURES AND REVENUES
Abdullaev Mehriddin Razzoqovich,Fayziev Shavkat Ismatovich,Atoev Asliddin Ekhtiyorovich , The Accounts Chamber of the Republic of UzbekistanAbstract
The article describes the role of artificial intelligence technologies in identifying the risks of violations of the law in the field of public expenditure and revenue, and details the definition, functions, differences and interrelationships of artificial intelligence, machine learning and neural networks.
Keywords
budget funds, risks, information technologies, artificial intelligence, machine learning, neural networks.
References
Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
Mitchell, T. M. (1997). Machine Learning. McGraw-Hill..
Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.). Springer.
Chandola, V., Banerjee, A., & Kumar, V. (2009). Anomaly detection: A survey. ACM Computing Surveys (CSUR), 41(3), 1-58.
Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. In Cambridge Handbook of Artificial Intelligence. Cambridge University Press.
Yu, H., Berkovsky, S., & Castells, P. (Eds.). (2021). Machine Learning for Data Mining: Basics and Applications. Elsevier.
Article Statistics
Downloads
Copyright License
This work is licensed under a Creative Commons Attribution 4.0 International License.