Explainable Artificial Intelligence in Consumer-Centric Business Practices and Approaches

1. Introduction

In today's rapidly evolving digital landscape, the integration of artificial intelligence (AI) into consumer-centric business practices has become ubiquitous (Gkikas & Theodoridis, 2022). However, the opaqueness of AI systems has raised concerns related to trust, accountability, and the ethical use of these technologies. Explainable Artificial Intelligence (XAI) has emerged as a critical approach to addressing these concerns by enhancing the transparency and interpretability of AI systems, especially in contexts that directly impact consumers (Mangio, Pedeliento & Andreini, 2022). This research paper embarks on a comprehensive exploration of the role of XAI in consumer-centric business practices and approaches, shedding light on its significance, methodologies, and the myriad ways in which businesses are leveraging XAI to create more trustworthy, ethical, and engaging interactions between AI systems and consumers. By employing content analysis as the primary research methodology, we aim to synthesize and analyze the existing literature, offering valuable insights into the current state of XAI within consumer-oriented domains and its implications for businesses and consumers alike.

The chapter flow of the current study is as follows:

• 1.0 Introduction

• 1.1 Problem Statement

• 1.2 Research Methodology

• 1.2.1Systematic Literature Review

• 1.2.2 Content Analysis

• 2.0 Literature Review

• 2.1 Fundamental Concepts of XAI

• 2.1.1 Introduction:

• 2.1.2 Interpretability and Transparency

• 2.1.3 Model-Agnostic Approaches:

• 2.2 Significance of XAI in enhancing consumer trust and engagement in AI-driven services and products

• 2.2.1 Introduction

• 2.2.2 Building Consumer Trust

• 2.2.3 Enhancing Consumer Engagement

• 2.3 Various dimensions of XAI and their implications in consumer-centric contexts

• 2.4 Methods and Techniques adopted by businesses to implement XAI

• 3.0 Findings

• 3.1 The current state of XAI in consumer-centric business practices and approaches

• 3.2 Challenges faced in XAI in consumer-centric business practices and approaches

• 3.3 Ethical Consideration in XAI for Consumer-Centric Business Practices

• 3.4 Regulatory Framework in XAI for Consumer-Centric Business Practices

• 3.5 Responsible AI adoption within consumer-focused domains

• 4.0 Implication of Study

• 5.0 Future Scope of research

Conclusion

The section below explain the objective of study and research methodology used in the current study.