I remember a medical researcher saying that causal inference has applications there. I can’t remember what, but building a causal model of a person after observing diseases and various interventions seems obviously useful, if costly at the moment.
There corrigibility and reward tampering literature uses causal models frequently.
And whenever you’re investigating causal relationships, the Do-calculus lets you perform crisp calculations which seems clearly useful. Sure, you could do some good approximations without it, or make decent guesses using intuition and some awkward statistics which are (probably) a reflection of the do calculus. But why use a crummier tool when you don’t have to?
I remember a medical researcher saying that causal inference has applications there. I can’t remember what, but building a causal model of a person after observing diseases and various interventions seems obviously useful, if costly at the moment.
There corrigibility and reward tampering literature uses causal models frequently.
And whenever you’re investigating causal relationships, the Do-calculus lets you perform crisp calculations which seems clearly useful. Sure, you could do some good approximations without it, or make decent guesses using intuition and some awkward statistics which are (probably) a reflection of the do calculus. But why use a crummier tool when you don’t have to?
How often have you actually used the tool in your life?