Chapter One — 1.1 Background to the Study

Organizations that depend on digital identity verification systems are under increasing pressure to modernize, and Explainable AI has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.

Despite this potential, many existing digital identity verification systems were not originally designed with explainable AI in mind, resulting in persistent gaps in user experience that limit their overall effectiveness. This study examines how Explainable AI can be applied to help close that gap.

1.2 Statement of the Problem

Existing approaches to user experience within digital identity verification systems remain largely reactive and fragmented, with little systematic use of explainable AI despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around explainable AI.

1.3 Objectives of the Study

1. To design and implement a explainable AI-based approach to improving user experience in digital identity verification systems.
2. To evaluate the effectiveness of Explainable AI in enhancing user experience within digital identity verification systems.
3. To identify the key requirements and constraints relevant to deploying explainable AI in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can explainable AI be applied to improve user experience in digital identity verification systems?
2. How effective is Explainable AI at enhancing user experience within digital identity verification systems?
3. What requirements and constraints are relevant to deploying explainable AI in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

Beyond its immediate technical contribution, this study offers value to organizations evaluating whether to invest in explainable AI for their own digital identity verification systems, and contributes to the broader literature on applied software technology / IT by documenting a concrete implementation and evaluation case.

1.6 Scope of the Study

The study is limited to the design, implementation, and evaluation of a explainable AI-based approach to improving user experience within digital identity verification systems. Reflecting its clearly defined scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.