AI in Governance and Policy-Making

Abstract

This comprehensive paper delves into the intricate landscape of Artificial Intelligence (AI) integration within governance and policymaking, assessing its potential transformative impact alongside ethical considerations. By emphasizing the imperative principles of justice, transparency, and privacy preservation in AI applications, the study rigorously examines challenges such as algorithmic bias and transparency deficits. Grounded in an extensive literature review, the research offers strategic insights for fostering inclusive AI policymaking, advocating a design-for-all paradigm, enhanced transparency, accountability mechanisms, public engagement initiatives, and continual adaptive frameworks. The paper systematically identifies critical gaps in AI harm and ethics research, proposing innovative approaches including advanced metrics, empirical evaluations of ethical frameworks, clear-cut AI ethics guidelines, targeted technical training for policymakers, and the establishment of robust AI governance models. While acknowledging AI's potential for efficiency gains, the study underscores the necessity for a nuanced approach, addressing limitations and highlighting the need for ongoing, adaptable research to fully comprehend AI's enduring impact on governance structures.