Nowadays, deep neural networks are widely used in mission critical systems such as
healthcare, self-driving vehicles, and military which have direct impact on human lives …

Purpose The objective of this study is to provide a systematic review of the literature on
artificial intelligence (AI) in customer-facing financial services, providing an overview of …

Digital transformation has generated a multifaceted shift in the financial industry through
financial technology (FinTech). This study focuses on the effect that a series of the most …

The convergence of Blockchain technology and Artificial Intelligence (AI) is exerting a
transformative influence, ushering in a new epoch of security and transparency within the …

This comprehensive review explores the dynamic landscape of predictive analytics in credit
risk management within the banking sector. Anchored in a qualitative research design, the …

This research focuses on using approaches such as ML and ANNs in FRM while will look at
and try to analyze their effectiveness compared to logistic regression, random forest, and …

In this paper, we investigate the perceptions of AI professionals for their accountability for
mitigating AI bias. Our work is motivated by calls for socially responsible AI development and …

This study aims to reveal the predictors of individuals' financial behavior associated with
credit default for accurate and reliable credit risk assessment. Within the scope of credit use …

In a context of market volatility, the growing complexity of financial products, and a shift
towards self-employment, there is an increasing demand for inclusive financial services for …

Ethically conducted business has a positive impact on consumer trust, sat-isfaction and
loyalty. The aim of this paper is to identify the bank activities that customers perceive as …