Blog

On The Reasons Behind Decisions

13 May, 2020

Adnan Darwiche, Auguste Hirth Professor Judea Pearl commented “Speaking about “explainable AI”, this paper shows that, even in classification tasks, and even after agreeing on a Bayesian Network classifier, answering “why”...

Causal Inference in Machine Learning and AI

08 May, 2020

Online lecture on causal data science wtih directed acyclic graphs (DAGs) in the advanced applied econometrics course at KU Leuven, Belgium (May 7, 2020). Talk is based on the following paper: https://arxiv.org/abs/1912.09104 Further teaching material:...

Causal Inference Without Counterfactuals: Comment

06 May, 2020

Judea Pearl 1. BACKGROUND The field of statistics has seen many well-meaning crusades against threats from metaphysics and other heresy. In its founding prospectus of 1834, the Royal Statistical Society resolved “to exclude carefully all Opinions...

Decision-theoretic foundations for statistical causality

06 May, 2020

A. Philip Dawid We develop a mathematical and interpretative foundation for the enterprise of decision-theoretic statistical causality (DT), which is a straightforward way of representing and addressing causal questions. DT reframes causal inference as...

Vietnam’s breakthrough strategy for AI economy

18 Jul, 2018

Jason Furman, Nguyen Anh Tuan, Michael Dukakis, Thomas Patterson, Nazli Choucri, David Silbersweig July 18, 2018  Prime Minister Nguyen Xuan Phuc aspires to utilize Artificial Intelligence (AI) to build a prosperous Vietnam. The AI initiative would...