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The evolution and multifaceted challenges of AI ethics and regulation. It traces the journey of AI discussions from philosophical contemplation to urgent practical imperatives, driven by real-world issues like bias and privacy violations. The sources then examine the global effort to codify AI governance through principles like Fairness, Accountability, and Transparency (FAT), highlighting the complexities and trade-offs involved in their implementation. A significant portion of the text is dedicated to a comparative analysis of the divergent regulatory approaches taken by the European Union, the United States, and China, showcasing their distinct philosophies and impacts. Finally, it explores the legal community's role in shaping AI liability through landmark litigation and considers the profound, potentially existential, ethical and safety challenges posed by the future emergence of Artificial General Intelligence (AGI) and quantum computing.