Publications:

Mussgnug, A. M. (2022). The predictive reframing of machine learning applications: Good predictions and bad measurements. European Journal for Philosophy of Science, 12(3), 55. https://doi.org/10.1007/s13194-022-00484-8

Presentations:

  1. PhilML2023: Philosophy of Science Meets Machine Learning, September 2023“, Catalyzation or Calcification? Concept Development and Machine Learning”
  1. Measuring the Human: New developments in the epistemology of measurement in the human sciences, July 2023, “Regulative Operationalism”
  1. British Society for the Philosophy of Science Annual Conference 2023, July 2023, “Regulative Operationalism”
  1. The Society for Philosophy and Technology Conference – Technology and Mobility, June 2023, “AI and Social Mobility: A Study at the Intersection of the Ethics and Epistemology of Technology”
  1. Cambridge Early Career Workshop in the Philosophy of Measurement, April 2023, “Cambridge Early Career Workshop in the Philosophy of Measurement”
  1. Society for Philosophy of Science in Practice Ninth Biennial Conference, July 2022, “The Predictive Reframing of Supervised Machine Learning Applications”
  1. Measurement at the Crossroads, June 2022, “The Predictive Reframing of Supervised Machine Learning Applications”
  1. Workshop on Bias and Discrimination in Algorithmic Decision-Making, October 2021, “Good Predictions and Bad Measurements”
  1. Biennial Conference of the European Philosophy of Science Association, September 2021, “Measurement and Machine Learning”
  1. The Society for Philosophy and Technology Conference – Technological Imaginaries, June 2021, “AI Narratives and How Machine Learning “Measures’”
  1. Boston University Graduate Student Philosophy Conference, April 2021, “How Machine Learning “Measures” and What We Can Learn From It”

 Invited Talks:

  1. The University of Edinburgh Workshop on Artificial Intelligence and the Christian Churches, February 2023, “What Counts? Models, Measurement, and Machine Learning”