Artificial Intelligence Governance and Policy Analytics using NLP

Abstract: Artificial Intelligence (AI) is increasingly reshaping how governments function and how societies and economies operate worldwide. It offers significant advantages, such as more efficient financial services, better medical diagnosis, and faster decision-making. At the same time, it raises important concerns, including bias in algorithms, lack of transparency, threats to privacy, and unclear responsibility when AI systems make decisions. For AI to be successfully adopted in the long run, public trust plays a crucial role. However, this trust can be weakened when regulations are unclear or not effectively implemented. This study compares how different regions—such as the United States, the European Union, China, and other emerging AI hubs—approach AI governance. It looks at their regulatory frameworks, ethical guidelines, and institutional practices, using key factors like transparency, fairness, accountability, and stakeholder involvement. The analysis draws on laws, government policies, international standards, and academic research. The results suggest that people are more likely to trust AI systems when policies are clear, transparent, and inclusive. On the other hand, inconsistent or vague regulations can create confusion and slow down the adoption of AI technologies.

Keywords: Artificial Intelligence Governance, Public Trust, AI Regulation, Ethics, Policy Analysis.