Participation is not a Design Fix for Machine Learning

Citation:

Work data:

ISBN: 979-84-00703-81-2

Type of work: Communication

Categories:

ICT Infrastructure

Abstract:

This paper critically examines existing modes of participation in design practice and machine learning. Cautioning against ”participationwashing”, 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 contextindependent scalability.