Causal graphs are graphical representations used to depict causal relationships between variables, enabling researchers to visually and mathematically analyze the cause-and-effect dynamics within a system. They are essential in distinguishing correlation from causation and are widely used in fields like epidemiology, social sciences, and artificial intelligence to improve decision-making and policy formulation.