Artificial Intelligence and the Modernization of Political Economy: Shaping New Policy-Making Paradigms

Artificial intelligence (AI) is revolutionizing the political economy by reshaping policy-making paradigms, economic management, and governance structures. This study explores the transformative potential of AI-powered technologies, such as machine learning, natural language processing, and predictive analytics, in addressing complex economic challenges. AI enhances data-driven policymaking, enabling governments to analyze vast datasets, model economic scenarios, and optimize resource allocation with unprecedented precision. From fiscal policy modeling to smart city initiatives and social welfare programs, AI has demonstrated its ability to improve efficiency, reduce resource leakage, and foster economic resilience. The integration of AI in political economy also presents ethical and societal challenges. Algorithmic bias, data privacy concerns, and technological monopolies are critical issues that can undermine the fairness and inclusivity of AI-driven systems. Additionally, unequal access to AI capabilities exacerbates global disparities, with resource-rich nations benefiting disproportionately. These challenges highlight the need for robust governance frameworks, ethical guidelines, and international collaboration to ensure equitable AI adoption. This paper examines the dual impact of AI on political economy, focusing on its applications, benefits, and ethical considerations. By analyzing case studies from diverse contexts, the study provides insights into how AI is shaping new policy paradigms and offers recommendations for fostering ethical and inclusive AI integration. The findings emphasize the importance of transparency, accountability, and collaboration among stakeholders to maximize AI’s potential while addressing its challenges. As AI continues to redefine the political economy, it is essential to prioritize human-centric approaches that align technological advancements with public welfare and global equity.

کلیدواژه ها:

Artificial intelligence ، political economy ، data-driven policymaking ، algorithmic bias ، governance frameworks.