Machine Learning Algorithms
DSA External Coure - 2021
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.
Guillaume Lample, Devendra Singh Chaplot
(Submitted on 18 Sep 2016)