Should the Government Regulate Artificial Intelligence and Its Dangers in Society?

The rapid advancement of Artificial Intelligence (AI) has transformed various sectors, necessitating regulation to balance innovation and ethical concerns. This study examines the necessity of AI governance, evaluates its societal risks and benefits, and provides policy recommendations. The research reviews academic literature, government policies, and international regulations using a qualitative approach with descriptive analysis. Findings highlight three regulatory models: the EU's human rights-based approach, the US's market-driven strategy, and China's state-controlled oversight. Key challenges include algorithmic bias, privacy violations, and cybersecurity threats. Effective AI policies should prioritize transparency, accountability, and public engagement while fostering innovation. This study recommends a risk-based regulatory approach, ensuring human oversight in high-risk AI applications. By implementing comprehensive governance, policymakers can maximize AI's benefits while mitigating risks and ensuring equitable technological advancement.