Book review
The Book of Why
From the article
The Book of Why: The New Science of Cause and Effect by Judea Pearl and Dana Mackenzie argues that correlation is not causation.
These 2019 notes summarise Pearl and Mackenzie's discussion of AI and causality; the AI comparison belongs to that time.
The Book of Why: The New Science of Cause and Effect by Judea Pearl and Dana Mackenzie argues that correlation is not causation.
Three levels of intelligence:
- Seeing – regularities (animals, evolution?)
- Doing – predict (e.g. hawk and prey)
- Imagining – theory, why! (humans, sometimes)
In these 2019 notes, I described AI as being at level 1 (not even 2), unable to posit a counterfactual, while noting how powerful that first level already was.
Limited Turing test is the goal of Pearl. E.g. have a story and AI to make inferences from parts of it.
Other topics noted: Bayesian priors, causality, and billiard balls.