An Introduction to Causal AI

causaLens’ Ben Steiner joins NYU Courant Professor Petter Kolm for an online NYU Courant’s Mathematical Finance & Financial Data Science Seminar.

Abstract

CausalAI is a new category of intelligent machines designed to reason about the world like humans (according to AI visionaries):

“To build truly intelligent machines, teach them cause and effect.” Judea Pearl, Turing Award winner 2011, Author ‘Book of Why?’, 2018
“Causality is very important for the next steps of progress of machine learning.” Yoshua Bengio, Turing Award winner 2018, considered one of ‘the godfathers of Deep Learning’
Nobel prize recently awarded for “analysis of causal relationships” The Sveriges Riksbank Prize in Economic Sciences in memory of Alfred Nobel, awarded to Professors Joshua Angrist and Guido Imbens in November 2021