A statistical approach to understand cause-and-effect relationships between variables by going beyond mere correlation.

• decision-making
• policy design
• understanding complex systems

In AI, causal inference is used to model and predict the consequences of interventions, such as changing a parameter or introducing a new feature.

• Laddering Technique and the Streisand Effect