This paper critically examines existing modes of participation in design practice and machine learning. Cautioning against 'participation-washing', it suggests that the ML community must become attuned to possibly exploitative and extractive forms of community involvement and shift away from the prerogatives of context-independent scalability.
Cite
@article{arxiv.2007.02423,
title = {Participation is not a Design Fix for Machine Learning},
author = {Mona Sloane and Emanuel Moss and Olaitan Awomolo and Laura Forlano},
journal= {arXiv preprint arXiv:2007.02423},
year = {2020}
}