For a claim of causation to be valid, there must be a correlation between the cause and effect, the effect must follow the cause chronologically, and there should be a plausible explanation for the process [11].
These frameworks, such as those developed by the UCL Center for Artificial Intelligence , integrate Large Language Models (LLMs) with causal discovery tools to generate graphs illustrating how different variables influence each other [5.4]. causal agent
In scientific research, identifying the causal agent is critical for developing interventions. For a claim of causation to be valid,