Participatory Machine Learning Models in Feminicide News Alert Detection

Authors

  • Amelia Lee Dogan Data + Feminism Lab Massachusetts Institute of Technology

DOI:

https://doi.org/10.1609/aaai.v36i11.21703

Keywords:

Machine Learning, Critical Data Studies, Participatory Methods, Interdisciplinary

Abstract

After criminal recidivism or hiring machine learning mod-els have inflicted harm, participatory machine learning meth-ods are often used as a corrective positioning. However, lit-tle guidance exists on how to develop participatory machinelearning models throughout stages of the machine learningdevelopment life-cycle. Here we demonstrate how to co-design and partner with community groups, in the specificcase of feminicide data activism. We co-designed and piloteda machine learning model for the detection of media arti-cles about feminicide. This provides a feminist perspectiveon practicing participatory methods in a co-creation mind-set for the real-world scenario of monitoring violence againstwomen.

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Published

2022-06-28

How to Cite

Dogan, A. L. (2022). Participatory Machine Learning Models in Feminicide News Alert Detection. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 13134-13135. https://doi.org/10.1609/aaai.v36i11.21703