Making Sense of Algorithms

This collection of essays explores some of the ways in which people make sense of algorithms.

My specific focus is on machine learning algorithms.

Each text departs from and explores a specific theme. The themes are my own loose categories of how machine learning algorithms tend to be critically approached: in space, at work, as (not) objective, through myths, like brains.