Algorithmic Collective Action in Machine Learning

2023 inproceedings hardt2023collective ○ Not yet verified

Authors

Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic

Venue

International Conference on Machine Learning (ICML)

Abstract

Provides theoretical framework for algorithmic collective action, showing that small collectives can exert significant control over platform learning algorithms through coordinated data strategies.

BibTeX

Local Entry

@inproceedings{hardt2023collective,
  title = {Algorithmic Collective Action in Machine Learning},
  author = {Moritz Hardt and Eric Mazumdar and Celestine Mendler-Dünner and Tijana Zrnic},
  year = {2023},
  booktitle = {International Conference on Machine Learning (ICML)},
  url = {https://proceedings.mlr.press/v202/hardt23a.html},
  abstract = {Provides theoretical framework for algorithmic collective action, showing that small collectives can exert significant control over platform learning algorithms through coordinated data strategies.}
}

From OPENALEX

@inproceedings{hardt2023collective,
  title = {Algorithmic Collective Action in Machine Learning},
  author = {Moritz Hardt and Eric Mazumdar and Celestine Mendler-Dünner and Tijana Zrnic},
  year = {2023},
  booktitle = {arXiv (Cornell University)},
  doi = {10.48550/arxiv.2302.04262}
}