As AI applications rapidly expand, regulatory frameworks are increasingly necessary to guide their use and protect society from potential harms. AI regulation aims to balance innovation with risk prevention through laws and standards that govern how intelligent systems are developed, deployed, and monitored. Key regulatory areas include data protection, privacy, accountability, and technical safety. Many governments and international bodies are adopting risk-based approaches, where AI systems are classified by impact level and stricter obligations apply to high-risk uses such as medical or judicial systems. Regulatory measures often include transparency requirements, documentation duties, auditability, and the right to challenge automated decisions. Effective regulation does not stop innovation but channels it responsibly. Clear rules provide stability for developers and increase user trust. Successful AI governance requires collaboration among policymakers, technology companies, researchers, and civil society. The future of safe AI depends on strong governance that integrates law, technology, and ethics.