ARTIFICIAL INTELLIGENCE AND PUBLIC GOVERNANCE IN PAKISTAN

A CASE STUDY OF NADRA

Abstract

This research paper studies the impact of artificial intelligence (AI) on public governance in general and Pakistan in specific. This study revolves around the National Database and Registration Authority (NADRA) and its operation model. The present study analyses how the usage of AI can make its work better and efficient. This study helps to design a practically workable model to make it more open to provide better services to promote social inclusion and give citizens more power. The research incorporates Algorithmic Governance Theory (AGT) to illuminate how this system transforms the institutional working framework, impacts decision-making, and its outcomes. The study explains both opportunities and challenges of AI usage in NADRA. It is an acknowledged fact that AI has become a potential system to enhance accountability, financial inclusion, accessibility and innovation. However, it simultaneously suggests concerns related to ethical oversight, data privacy, structural inequality and algorithmic opacity. The present study offers a comprehensive understanding of AI-based governance, especially with reference to developing-states like Pakistan. It helps the institution to utilize policy documents, international frameworks and institutional reports.