Abstract: ChatGPT is a Natural Language Processing (NPL) Model driven by a new generation of artificial intelligence technology. The article discusses in depth the Causal Rules, Causal Representations and Causal Explanations of ChatGPT around causality. By analyzing the underlying logic in ChatGPT’s causal cognition and learning, the following three understandings are obtained: First, ChatGPT uses correlation as its underlying causal rule, driven by Deep Neural Networks(DNNs), Large Language Model（LLM）and statistical analysis methods, and realizes the embedding of causality in artificial intelligence in the form of probability. Second, to realize the simulation of human’s ability of causal cognition, causal language and causal inference, ChatGPT has a representation similar to human’s intelligence in the generation of natural language. Third, relying on the two paths of Computational Causal Explanation and Causal Emergent Explanation generated by intelligence, ChatGPT realizes the input from symbols and information to the output of "Data Knowledge", and acquires new capabilities in an emergent way, realizing artificial intelligence The "Cause and Effect Revolution" in the field of artificial intelligence constructs a blueprint for the future development of artificial intelligence.