301 Moved Permanently We categorise the xai methods employed in finance based on their specific financial applications, identify existing research gaps, and propose potential areas for future investigation. Table 5 gives an overview of xai methods concerning their application areas in finance. this overview allows us to indicate blind spots, deriving fruitful avenues for future research, especially.
Overview Of Xai Methods And Areas Of Finance Research Considered Most researchers employed either real or experiment crafted datasets to pre sent their xai related results in finance. this adds to the practical applicability of the study at hand, as it shows finance practitioners that xai is already well con nected to, e.g., real market datasets and is thus more readily available for implemen tation in. Therefore, in this comprehensive study, we provide readers with an overview of the current research and trends in this rapidly emerging area with a case study example. the study starts by explaining the background of xai, common definitions, and summarizing recently proposed techniques in xai for supervised machine learning. This study analyzes relevant research articles through a systematic literature review focusing on the application and types of xai methods. the results show that xai is widely applied in fields such as credit risk assessment, fraud detection, stock market forecasting and customer profiling. Explainable artificial intelligence (xai) is a growing area of research that aims to improve the interpretability of the not so informative black box models. however, it is currently difficult to categorize an existing method in terms of its intrinsic characteristics and explainability. we provide a new unified yet simple taxonomy for the categorization of xai methods and present the.
Overview Of Xai Methods And Areas Of Finance Research Considered This study analyzes relevant research articles through a systematic literature review focusing on the application and types of xai methods. the results show that xai is widely applied in fields such as credit risk assessment, fraud detection, stock market forecasting and customer profiling. Explainable artificial intelligence (xai) is a growing area of research that aims to improve the interpretability of the not so informative black box models. however, it is currently difficult to categorize an existing method in terms of its intrinsic characteristics and explainability. we provide a new unified yet simple taxonomy for the categorization of xai methods and present the. Together with experts from the financial sector we studied the field of xai and developed a framework to analyze xai in finance. the framework is aimed at identifying what type of explanation different stakeholders in the financial sector require, both in terms of the required information and in terms of effectively conveying that information. we defined xai as follows: given a stakeholder. We identify a set of 60 relevant articles, classify them according to the used xai methods and goals that they aim to achieve, and provide an overview of xai methods used in different finance areas.
Overview Of Xai Methods And Areas Of Finance Research Considered Together with experts from the financial sector we studied the field of xai and developed a framework to analyze xai in finance. the framework is aimed at identifying what type of explanation different stakeholders in the financial sector require, both in terms of the required information and in terms of effectively conveying that information. we defined xai as follows: given a stakeholder. We identify a set of 60 relevant articles, classify them according to the used xai methods and goals that they aim to achieve, and provide an overview of xai methods used in different finance areas.
Overview Of Xai Methods And Areas Of Finance Research Considered
Taxonomy Of Xai Methods Download Scientific Diagram