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This book, Responsible AI: Principles and Practices, discusses the ethical considerations, governance structures, and practical frameworks necessary to develop and deploy artificial intelligence systems that are fair, transparent, accountable, and beneficial for society. The chapters in this book are timely and important because the authors address the ethical, legal, and societal implications of AI and present a systematic approach for ensuring that AI technologies are developed and used in a fair, transparent, and inclusive manner that is consistent with human values. As AI systems are increasingly invoked to inform decision-making in high-stakes areas such as healthcare, finance, education, and government, thinking about responsibility throughout the lifecycle of AI is no longer a luxury but instead a necessity. Furthermore, this book is related to the series of Leading-Edge Breakthroughs in Artificial Intelligence as it allows for technical innovation to occur with the appropriate ethical guidelines in place to ensure that AI breakthroughs lead to long-term, trustworthy, and socially accepted progress across industries.