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Politics of Machine Learning Evaluation (on-site)

Is the data good enough for training purposes? Does the model perform accurately enough? Is the error rate low enough? Such questions of ‘good enough’ are at the very core of the process of Machine Learning (ML) evaluation and can also be considered a highly political process in the development of ML systems. There is already a growing interest in the political implications of ML in relation to, for example, dataset construction and the political capacities of specific ML models or foundational algorithmic techniques. However, there has been less focus on the politics of evaluation practices and techniques in ML.
Start date
16 November 2023
End date
17 November 2023

To further explore this issue, we organize a workshop on ‘The Politics of Machine Learning Evaluation’ at the University of Amsterdam in November 2023. The aim of this workshop is to collectively engage with conceptualisations and the methodologies of how to study ML evaluation techniques. 

Call for Papers and more information on submission and deadlines

The workshop will feature three keynotes by Florian Jaton (University of Lausanne), Nanna Bonde Thylstrup (Copenhagen Business School) and Claudia Aradau (Kings College London).

Accepted papers will get the opportunity to receive feedback from one of the three keynote speakers as well as peer-discussants. The aim is to develop a special issue in a peer-reviewed journal on the basis of the submitted papers, for which all workshop participants will have the opportunity to contribute.

The workshop is funded by the Amsterdam School for Cultural Analysis (ASCA), the Amsterdam school for Heritage, Memory and Material Culture (AHM) and the Research Priority Area Human(e) AI. It will be hosted by the Institute for Advanced Study (IAS) in Amsterdam.