Maximilian Kasy is an associate professor of economics at Harvard University. His research, writing, and code can be found here.

July 3, 2019


The Politics of Machine Learning, pt. II

The uses of algorithms discussed in the first part of this article vary widely: from hiring decisions to bail assignment, to political campaigns and military intelligence.

Across all these applications of machine learning methods, there is a common thread: Data on individuals is used to treat different individuals differently. In the past, broadly speaking, such commercial and government activities used to target everyone in a given…

June 27, 2019


The Politics of Machine Learning, pt. I

On prediction, profits, votes, and militarism.

Terminology like "machine learning," "artificial intelligence," "deep learning," and "neural nets" is pervasive: business, universities, intelligence agencies, and political parties are all anxious to maintain an edge over the use of these technologies.

March 28, 2019


Experiments for Policy Choice

If we wish to pick good policies, we should run experiments adaptively

Randomized experiments have become part of the standard toolkit for policy evaluation, and are usually designed to give precise estimates of causal effects. But, in practice, their actual goal is to pick good policies. These two goals are not the…

March 1, 2019


The Case for an Unconditional Safety Net

The 'magic bucket' of universal cash transfers

Imagine a system where everyone had a right to basic material safety, and could say “no” to abuse and exploitation. Sounds utopian? I argue that it would be quite feasible to get there, and that it would make eminent economic,…