More than funding, then issue is data. Untangling correlation from causation usually requires running additional experiments.
It's important for people to understand these limits of current ML, but they are happening for a good reason. You can apply associative reasoning in many environments that don't support causal reasoning, and we are still scratching the surface of the value discovering associations can create.
It's important for people to understand these limits of current ML, but they are happening for a good reason. You can apply associative reasoning in many environments that don't support causal reasoning, and we are still scratching the surface of the value discovering associations can create.