AI-ML for Decision and Risk Analysis

Recent advancements in decision-making and risk analysis are explored through the lens of artificial intelligence and machine learning. The book highlights how these technologies enhance classical decision analysis by addressing real-world complexities such as skill acquisition, uncertainty in implementation, and unpredictable outcomes. By confronting these challenges, AI and ML contribute to a more practical approach to normative decision theory, leading to improved strategies for navigating uncertain and evolving environments in decision-making processes.