Shaping Futures
e-magazine of The Michael Dukakis Institute
The Seven Tools of Causal Inference, with Reflections on Machine Learning
The dramatic success in machine learning has led to an explosion of AI applications and increasing expectations for autonomous systems that exhibit human-level intelligence. These expectations, however, have met with […]
Telling and Re-telling History: The case for a whiggish account of the history of causation
Professor Judea Pearl wrote a note on the case for a whiggish account of the history of causation,...
Intellectual Society
Nguyen Anh...
Simpson’s paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects
The 2019–20 coronavirus pandemic originates from a virus, referred to as the 2019 novel...
Decision-theoretic foundations for statistical causality
In a recent paper Decision-theoretic foundations for statistical causality, Dr. Philip Dawid...
Bye-bye Python. Hello Julia!
Which is why more and more programmers are adopting other languages — the top players being...
AI can’t solve this: The coronavirus could be highlighting just how overhyped the industry is
Professor Judea Pearl, UCLA, Turing Award, 2020 World Leader in AIWS Award. He is a mentor of...
Generalizing Experimental Results by Leveraging Knowledge of Mechanisms
Professor Judea Pearl, Chancellor’s Professor, UCLA, World Leader in AIWS Award recipient, and...
Causal Relational Learning paper
Professor Judea Pearl, Chancellor’s Professor of UCLA, father of Bayesian Networks, Cause and...