Vietnam’s breakthrough strategy for AI economy

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...

Journal of Causal Inference

Your benefits Interdisciplinary approach Quantitative methodology Outstanding editorial board One of leading journals in causal inference Open access publication Objective Journal of Causal Inference (JCI) is a fully peer-reviewed, open...

AIWS Summit 2020: Speech by Andreas Norlén, Speaker of the Swedish Parliament

 AIWS Summit 2020: Speech by Andreas Norlén, Speaker of the Swedish Parliament April 28, 2020 Anf. Andreas Norlén, AI World Society Summit 2020, the Boston Global Forum and World Leadership Alliance-Club de Madrid ———————– Governor...

AIWS Summit 2020: The Social Contract 2020 and starting the History of AI project at AIWS.net

Due to COVID-19 Pandemic, every event has to be done online, and so will be AIWS 2020. AIWS 2020 will be from April 28, 2020 to June 6, 2020, starting with a speech by the Speaker of the Swedish Parliament, Andreas Norlén, on April 28, 2020. Distinguished...

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu Recent progress in deep learning is essentially based on a “big data for small tasks”...

Dr. Andreas Norlén, Speaker of the Swedish Parliament, speaks at AIWS Summit 2020

AIWS Summit 2020 is scheduled to be organized April 26-28, 2020 in partnership with World Leadership Alliance-Club de Madrid. Due to social distancing and Harvard’s closure in this time, the AIWS Summit 2020 will be done online on April 28, and will...

Tweets by Judea Pearl

Tweets by yudapearl

Causal Inference that’s not A/B Testing: Theory & Practical Guide

WRITTEN BY Eva Gong Undoubtedly, randomized experimentation (assuming it is conducted properly) is the most straightforward way to establish causality (refer to my previous article on a collection of A/B testing learning resources!). However, practically...

Generalizing Experimental Results by Leveraging Knowledge of Mechanisms

Abstract We show how experimental results can be generalized across diverse populations by leveraging knowledge of mechanisms that produce the outcome of interest. We use Structural Causal Models (SCM) and a refined version of selection diagrams to...