The Book of Why: The New Science of Cause and Effect

By P. M. Aronow, Fredrik Sävje. Journal of the American Statistical Association, 2020

132 citations recorded by the source corpus.

Judea Pearl is a giant in the field of causal inference, whose many contributions, including the discovery of the d-separation criterion, have been immeasurably valuable. He, along with science wri...

Subfields: Artificial Intelligence, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c2daf72d806295198502ef05fbc76d4690b532a0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Amit Sharma
2. Emre Kıcıman
3. Robert Osazuwa Ness
4. Chenhao Tan
5. Q. Liao
6. David J. Spiegelhalter

In Sociology and Political Science

1. Emre Kıcıman
2. Chenhao Tan

In Statistics and Probability

1. Emre Kıcıman
2. Chenhao Tan

Citations in the corpus

• Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (2023, background): “According to Pearl’s causal hierarchy (Pearl & Mackenzie, 2018), LLMs, trained only on observational data, should not be able to answer interventional or counterfactual queries.”