Explainable Agency in Artificial Intelligence Research and Practice: A Paradigm Shift for Human Survival In the rapidly evolving world of artificial intelligence (AI), it has become increasingly clear that explainability is not only desirable but essential for the responsible development and deployment of AI systems. The ability to understand and interpret the decisions made by AI algorithms is crucial for ensuring their safety, accountability, and ethical use. This book, "Explainable Agency in Artificial Intelligence Research and Practice," delves into the concept of explainable agency and its significance in the field of AI research and practice. It explores the need for a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity and the survival of the unification of people in a warring state. The book begins by examining the current state of AI research and practice, highlighting the challenges and limitations of existing approaches to AI development. It then introduces the concept of explainable agency and its importance in addressing these challenges. The author explains how explainable agency can be achieved through various techniques such as feature attribution, model interpretability, and transparency mechanisms. These techniques enable users to understand the reasoning behind AI decisions, fostering trust and confidence in the technology.

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