Interpretable Artificial Intelligence in Information Systems: Status Review and Future Research Directions

Author:

Saurabh Sudhakar Umredkar 1,Swapnil Anil Bagde 1,Sonu Ramkumar Shahu 1,Prof Nikita Khanzode 1

Affiliation:

1. Tulsiramji Gaikwad Patil College of Engineering and Technology, Nagpur, India

Abstract

Efforts to develop black-box artificial intelligence (AI) systems have become a phenomenon of emerging global interest in academia, business, and society, and have led to the development of the XAI research field. With its pluralistic perspective, information systems (IS) research is destined to contribute to this emerging field; thus, it is not surprising that the number of research publications at XAI has increased significantly. This paper aims to provide a comprehensive overview of XAI research in public and electronic markets, specifically using a structured literature review. Based on a literature review of 180 research papers, this work examines the most receptive points, the development of academic debates, and the most important concepts and methodologies. In addition, eight research areas with different levels of maturity in e-markets are identified. Finally, guidelines for the XAI research agenda in IS are presented

Publisher

Naksh Solutions

Subject

General Medicine

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