Participation is not a Design Fix for Machine Learning
Citation:
Work data:
ISBN: 979-84-00703-81-2Type of work: Communication
Categories:
ICT InfrastructureAbstract:
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.