Causality and Machine Learning

Established: August 1, 2018

The main objective of DiCE is to explain the predictions of ML-based systems that are used to inform decisions in societally critical domains such as finance, healthcare, education, and criminal justice. In these domains, it is important to provide explanations…

Established: December 5, 2016

ALICE Automated Learning and Intelligence for Causation and Economics Alice is a project to direct Artificial Intelligence towards economic decision making. We are building tools that combine state-of-the-art machine learning with econometrics – the measurement of economic systems — in…

Project Causica aims to develop machine learning solutions for efficient decision making that demonstrate human expert-level performance across all domains.

Established: January 1, 2018

Today’s computing systems can be thought of as interventions in people’s work and daily lives. But what are the outcomes of these interventions, and how can we tune these systems for desired outcomes? In this project we are building methods…

Helping communities take evidence-based action in the fight against human rights violations Human rights are universal – every person on the planet is entitled to the same rights and freedoms that enable a life of dignity. In any given society, however,…

EconML is an open source Python package developed by the ALICE team at Microsoft Research that applies the power of machine learning techniques to estimate individualized causal responses from observational or experimental data. The suite of estimation methods provided in EconML…