“Machine Learning, Black Labour and Bio-epistemic Resistance”

“We misconstrue machine learning as being powered by data, when in fact machine learning makes use of data to produce within techno-social system…we can’t understand machine learning in isolation of the black female form. In other words, in order to understand automation and capital we must return to the racialized and gendered conception of what it means to be a body itself.”

A short talk by Ramon Amaro presented as part of After Work: Life, Labour and Automation, a symposium exploring work and resistance through and against technology.

The event took place at University of West London, on 27 January 2018. It was organised by the Gender, Technology and Work research cluster at UWL, in collaboration with Autonomy, a thinktank focused on issues around the crisis of work, and wrkwrkwrk, an interdisciplinary feminist study group.

Ramon Amaro (@SambaRhino) is a Lecturer in the Department of Visual Cultures at Goldsmiths, University of London; visiting tutor in Media Theory at the Royal Academy of Art, The Hague (KABK); and former Research Fellow in Digital Culture at Het Nieuwe Instituut in Rotterdam. His research interests include machine learning, engineering, black ontology, and philosophies of being. Ramon has completed his PhD in Philosophy at Goldsmiths, while holding a Masters degree in Sociological Research from the University of Essex and a BSe in Mechanical Engineering from the University of Michigan, Ann Arbor. He has worked as Assistant Editor for the SAGE open access journal Big Data & Society; quality design engineer for General Motors; and programmes manager for the American Society of Mechanical Engineers (ASME).

 

artwork from Brooklyn-artist Nona Faustine’s White Shoe series

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