THE SILENT HISTORY OF CAUSE AND EFFECT

Judea Pearl UCLA HPASS Los Angeles, CA Outline The Ubiquity of causal thinking in ethics and science, from ancient times to modernity. Why it kept silent till 1920. What prevented statisticians, economists, social and health scientists from answering...

Simpson’s paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects

Julius von Kügelgen, Luigi Gresele, Bernhard Schölkopf Professor Judea Pearl wrote: “This paper is the first COVID-19 analysis I read that goes beyond data-fitting and tells society: Yes! AI can be trusted to extract meaning from data, and can do...

Club de Madrid and Boston Global Forum co-organized AIWS Roundtable to discuss the Social Contract 2020

On May 12, 2020, at 9:00 am, EST, the topic “A New Social Contract in the Age of AI: Protection of Privacy Rights in the Times of COVID-19” was discussed by former presidents, prime ministers who are members of Club de Madrid. Speaker of the Swedish...

A Guided Tour of Artificial Intelligence Research

Volume I: Knowledge Representation, Reasoning and Learning Introduction The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues....

Pearl, Judea and Mackenzie, Dana: The book of why: the new science of cause and effect (2018)

Basic Books, New York. ISBN 9780465097609 (hardcover) Karamjit S. Gill  [email protected] University of Brighton, Brighton, UK © Springer-Verlag London Ltd., part of Springer Nature 2020 ‘The Book of Why’ by Judea Pearl and Dana Mackenzie...

A New Social Contract in the Age of AI: Protection of Privacy Rights in the Times of COVID-19

World Leadership Alliance-Club de Madrid and Boston Global Forum co-organized this Roundtable at 9:00 am EST, May 12, 2020 Speakers: María Elena Agüero, Secretary General of the Club De Madrid Nguyen Anh Tuan, Co-founder and CEO of Boston Global Forum Professor...

What are the differences between econometrics, statistics, and machine learning?

In comparing econometrics, statistics, and machine learning methodologies, one must distinguish between standard and advanced machine learning. The former, exemplified by deep learning and neural networks, fits a function to a stream of data and plays...

On The Reasons Behind Decisions

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”...

AIWS Summit 2020: The Chief of the United Nations Academic Impact’s talk

Ramu Damodaran is the chief of the United Nations Academic Impact , an initiative he was responsible for designing ten years ago and which now has more than 1300 member institutions. He also oversees the civil society and advocacy outreach in the United...