Causal Artificial Intelligence: A Roadmap for Building Causally Intelligent Systems
Author: Elias Bareinboim
This textbook offers a comprehensive treatment of the principles, algorithms, and tools necessary for building causally intelligent systems. It bridges probability theory, causal inference, machine learning, and decision-making under uncertainty, providing a unified roadmap for addressing fundamental challenges in modern AI, including safety, generalization, robustness, and explainability.
Author: Elias Bareinboim
This textbook offers a comprehensive treatment of the principles, algorithms, and tools necessary for building causally intelligent systems. It bridges probability theory, causal inference, machine learning, and decision-making under uncertainty, providing a unified roadmap for addressing fundamental challenges in modern AI, including safety, generalization, robustness, and explainability.