The rapid proliferation of AI-driven autonomous systems necessitates sophisticated regulatory frameworks to mitigate risks while harnessing their transformative potential. Autonomous systems, encompassing applications such as drones, surgical robots, health-monitoring devices, facial recognition systems, legal chatbots, and driverless vehicles, are revolutionizing sectors including healthcare, transportation, finance, and national security. These systems operate with minimal human intervention, leveraging advanced machine learning algorithms to learn from outcomes and adapt, resulting in unpredictable behaviors that challenge traditional regulatory paradigms. This chapter delves into the global regulatory landscape for AI-driven autonomous technologies, scrutinizing legal, compliance, human rights, societal well-being, and safety dimensions. It addresses the technological, legal, ethical, and geopolitical challenges inherent in governing these systems, proposing an integrated approach to regulation. The governance of autonomous systems is complex due to their dynamic and unpredictable nature, complicating the establishment of coherent legal frameworks. The primary challenge is to develop governance models that balance technological innovation with stringent ethical standards and human-centric values, avoiding overly restrictive measures that could hinder progress. This chapter critically evaluates existing regulatory approaches, identifies systemic gaps, and proposes innovative frameworks for managing autonomous systems. By synthesizing insights from technology, law, ethics, and policy studies, it contributes to the global discourse on responsible technological development. It emphasizes the need for well-designed governance mechanisms that promote responsible innovation while ensuring robust ethical considerations. The chapter advocates for moving beyond simplistic narratives to appreciate the intricate, co-evolutionary relationship between technological innovation and social governance, ultimately underscoring the necessity for governance mechanisms that leverage the transformative power of autonomous systems to foster responsible innovation aligned with ethical imperatives.