AI-Driven Legal Governance Framework for Transparent and Accountable Public Administration

Abstract

Artificial intelligence (AI) is changing the face of public administration, where its use in data-driven decision making, automated service delivery, predictive analytics, and intelligent governance mechanisms is rapidly changing the landscape. The use of AI in government, however, has important implications for transparency, accountability, fairness, legality, explainability, and citizen trust. This study seeks to create an integrated model of responsible public administration based on AI technologies that will enhance transparency, accountability, and efficient and citizen-driven public governance. The methodology draws on a structured, in-depth review of recent work in the field of AI governance, algorithmic accountability, public-sector decision making, legal frameworks, ethical governance, digital transformation. The proposed framework combines explainable AI, lifecycle-based governance, human oversight, algorithmic auditing, algorithmic accountability, data governance, and citizen involvement, all based on the themes identified. The conceptual evaluation is used to review the framework on the following dimensions: transparency, accountability, fairness, explainability, compliance and citizen trust. The findings show that embedding these mechanisms can enhance the traceability of automated decisions, bolster institutional accountability, mitigate risks of using black-box algorithms and promote more responsible public sector AI applications. The study ends by identifying a multi-faceted governance framework for AI that involves both technological measures and legal regulation, ethical considerations, institutional responsibility, and human oversight. The outlined system offers a blueprint for an AI-driven public administration that is transparent, accountable, and citizens-centric.