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...

Causal Inference in Machine Learning and AI

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

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

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...

The History of Artificial Intelligence: looking back at history to shape the future

Nguyen Anh Tuan The Social Contract 2020 sets the foundation for a new historical chapter: the emergence of AI societies. Governor Michael Dukakis stressed the importance of studying history to prevent past mistakes from repeating in the present and...

The History of AI (HAI) at AIWS.net, the first historical site in Artificial Intelligence

On May 5, 2020, the Michael Dukakis Institute for Leadership and Innovation will officially launch the History of Artificial Intelligence project. Topics for the History of Artificial Intelligence Project: Historical events, achievements, and figures...