Published Paper Details:

The rapid advancement of Artificial Intelligence (AI) has significantly transformed governance mechanisms and policy-making processes across the world. Governments are increasingly integrating AI-driven technologies to enhance efficiency, transparency, and participatory governance. In democratic societies, the effectiveness of public policy depends not only on institutional capacity but also on citizen participation and collaborative governance mechanisms. Artificial Intelligence offers new possibilities for evidence-based policy formulation, efficient implementation, continuous monitoring, and systematic impact assessment. In India, the expansion of digital infrastructure has created an enabling environment for the application of AI in governance. One of the most significant welfare initiatives in the health sector is the Ayushman Bharat Yojana, which aims to provide financial protection and healthcare access to economically vulnerable populations. Managing such a large-scale healthcare program requires sophisticated systems capable of handling vast amounts of data related to beneficiaries, healthcare providers, treatment outcomes, and financial transactions. Artificial Intelligence has the potential to strengthen policy processes in such programs by enabling predictive analytics, fraud detection, automated verification, and real-time monitoring of healthcare delivery systems. Additionally, AI-enabled digital platforms can facilitate citizen engagement through grievance redressal mechanisms, feedback systems, and participatory decision-making processes. This research paper examines the role of Artificial Intelligence as a tool for constructive public policy that promotes participative governance. Using Ayushman Bharat Yojana as a case study, the study analyzes how AI can enhance policy formulation, policy implementation, policy monitoring and evaluation, impact assessment, and citizen participation in governance processes. The study also highlights the ethical challenges and governance concerns associated with AI-driven policy systems. The findings suggest that AI can significantly improve policy effectiveness, transparency, and responsiveness while strengthening collaborative governance structures. However, the successful integration of AI in public policy requires robust institutional frameworks, data protection measures, and accountability mechanisms to ensure democratic and ethical governance.