After having worked on the topic of machine learning in various individual and collective projects in the last two years, we (An, Gijs & Manetta) are very happy to announce the start of a new trajectory that lives under the name Algorithmic Uncertainty.

Machine learning is a technique of recognizing patterns, to develop knowledge on the basis of data. It's a way to automate the process of transforming data into information. The belief that this is possible, seems to be the basis of the technology.

We developed an interest to understand how feelings of uncertainty are embedded within a machine learning model. To do this, we decided to focus on moments of uncertainty within a machine learning practise, an area that doesn't stop at the source code, but includes information about the specific situation in which the model is developed and the different people that were involved.

We are currently in a pre-trajectory of the project, testing and exploring ways to translate a machine learning model into a poetic-observing book. In the second stage we will develop this research in an poetically observing book.

This blog is a tool to keep track of our research. And of course reactions are welcome!