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@article{206425,
        author = {Anjali Kumari and Dr. Sumita Roy and Dr. Ajay Kumar},
        title = {IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON CREDIT RISK ASSESSMENT IN THE BANKING SECTOR: A CASE STUDY OF STATE BANK OF INDIA AND PUNJAB NATIONAL BANK IN RANCHI DISTRICT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {2059-2067},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206425},
        abstract = {AI is making a significant place in the banking sector, especially in the area of credit risk assessment. We can understand AI as a system that helps in simplifying the process in the following ways like It helps in analysing a heavy volume of data, it helps in understanding the pattern process, also assisting in the decision-making process. This study main objective is to examine in what way artificial intelligence (AI) in the banking sector can reduce credit risk assessment and non-performing assets (NPAs) along with analyzing the significance of AI in the banking sector for credit risk assessment. It also object to understand borrowers’ knowledge and perspectives about the use of AI in the banking sector for providing services in the Ranchi district. The research was conducted using conventional sampling method with the help of various tools like percentage analysis table, pie chart and regression method with the help of MS Excel. The results show that there is improvement in credit risk assessment because of the use of artificial intelligence in the banking sector, for example, managing customer financial records and analyzing the data, maintaining the customer repayment history, transaction records, and their credit behaviour more accurately. Nowadays, many banks use artificial intelligence to manage their different types of work, which is very helpful for both the customers and the banks. In many ways, like credit scoring, evaluating risk associated with loan approval and managing customers. In many banks like State Bank of India and Punjab National Bank, giving a special reference to the associated bank in Ranchi district makes the work very easy and faster for both the customer and the banks in comparison with other banks that are not associated with AI.},
        keywords = {Artificial intelligence, Banking sector, Credit risk assessment, Borrower, Traditional Method, and Manual Method.},
        month = {July},
        }