The ethical landscape of artificial intelligence (AI) evolves, reflecting technology's influence in modern life. From algorithmic decision-making in healthcare and finance to surveillance systems and generative tools, AI raises ethical questions about privacy, bias, accountability, and human agency. As these systems become more autonomous and integrated into societal functions, navigating the moral implications of their development and usage becomes essential. This demands careful consideration from technologists, policymakers, and organizations to ensure AI serves humanity fairly and responsibly. The Ethical Landscape of AI: Global Issues and Solutions explores the multifaceted ethical dilemmas posed by the rapid advancement and integration of AI technologies across various sectors. It examines issues like bias, privacy, transparency, accountability, and the societal impacts of AI. This book covers topics such as human rights, misinformation, and data privacy, and is a useful resource for engineers, sociologists, business owners, academicians, researchers, and data scientists.