Exploring the Role of Explainable Artificial Intelligence in Decision-Making Processes for Analysational Systems

Abstract

As artificial intelligence (AI) algorithms become increasingly advanced and embedded within organisational systems, there is a growing need for transparency and understanding of their decision-making processes. Explainable AI (XAI) has emerged as a field of research aimed at developing AI systems that can clarify and justify their outputs. This paper aims to explore the role of explainable AI in decision-making processes for organisational systems. We review the current state of AI in organisations, discuss the importance of explainability, and explore various XAI techniques and their potential benefits. By addressing the challenges and limitations associated with explainable AI, this paper provides insights into the considerations required when implementing XAI in organisational decision-making.