There are 3 levels of causation
Association: basic level - See - Observe
Intervention: Intervene to make a change and see the effect - “If-Then “
Counterfactual Thinking: Top level - posing “What if”The current trend in AI is based on the idea that:
Data itself will guide us to the right answers to causal questions-
I am skeptical of this trend
As Data is profoundly dumb without
Cause and Effects! ….Judea Pearl
Correlation may not mean causation!
All that deep learning can do is Fit function to Data - Correlation only!
Rather what we need is: a causal structure of the possibilities
That then you can use to go from đŸ˜‚Correlation to causation!