Causal Inference and AI

Content

Recently, I am working on the research that binding causal inference and machine learning. If you got potential to do experiment, then you won't need to apply causal inference. Because you have already operated the variable in the real world. However, when you don't know the causality between the variables, it might be a good choice to use the well-developed tools of causal inference, such as Causal DAGs, d-Separation, and Counterfactual inference algorithms.

I am still working on how to build a causal inference workflow, and might find something interesting with binding the machine learning technique and causal inference in the future.

References

Causal AI (manning.com)
Causal Inference The Mixtape (scunning.com)