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Machine Learning as Performative Materialist Practice: Thirteen Theses on the Epistemology, Methodology, and Politics of Applied ML

Author

Listed:
  • Adolfo De Unánue

    (School of Government and Public Transformation, Tecnológico de Monterrey)

  • Fernanda Sobrino

    (School of Government and Public Transformation, Tecnológico de Monterrey)

Abstract

This work proposes thirteen theses for rethinking machine learning as a situated, performative, and temporal practice. It argues that models do not represent stable systems, but rather intervene in them, coevolving with the data, institutions, and decisions they help produce. From this perspective, their value should be evaluated based on their concrete effects, their multi-objective trade-offs, and their capacity to improve public action under real material, ethical, and organizational constraints.

Suggested Citation

  • Adolfo De Unánue & Fernanda Sobrino, 2026. "Machine Learning as Performative Materialist Practice: Thirteen Theses on the Epistemology, Methodology, and Politics of Applied ML," Working Paper Series of the School of Government and Public Transformation 34, School of Governement and Public Transformation.
    • Handle: RePEc:gnt:wpaper:34
    as

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    File URL: https://egobiernoytp.tec.mx/sites/default/files/2026-05/machine_learning_performative_materialist_practice.pdf
    File Function: First version, 2026
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    Keywords

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    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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