Ramon Amaro

A contemplation on the abstruse nature of machine learning, mathematics, and the deep incursion of racial hierarchy.

This book aims to introduce the history of statistical analysis and a knowledge of sociogenesis—a system of racism amenable to scientific explanation—into machine learning research as an act of impairing the racial ordering of the world. While machine learning—computer programming designed for taxonomic patterning—provides useful insight into racism and racist behavior, a gap is present in the relationship between machine learning, the racial history of scientific explanation, and the Black lived experience. Ramon Amaro explores how the history of data and statistical analysis provide a clear (and often sudden) grasp of the complex relationship between race and machine learning. Amaro juxtaposes a practical analysis of machine learning with a theory of Black alienation in order to inspire alternative approaches to contemporary algorithmic practice. In doing so, Amaro offers a continuous contemplation on the abstruse nature of machine learning, mathematics, and the deep incursion of racial hierarchy.

Ramon Amaro is Lecturer in Art and Visual Cultures of the Global South at University College London. His writing, research and practice emerge at the intersections of Black Study, psychopathology, digital culture, and the critique of computation reason.

This “black book” published by Het Nieuwe Instituut presents a layered, non-binary notion of darkness. Navigating through cosmic, automated, and seemingly invisible environments, it delves into what we do not generally get – or choose – to see. Moreover, the book explores the relation between the possibility of seeing and forms of oppression and emancipation. Sharp book design frames contributions by the Academy for Urban Astronauts, Ramon Amaro, Danilo Correale, Jonathan Crary, Aldo van Eyck, Ludo Groen, Bregtje van der Haak, Saidiya Hartman, Marten Kuijpers, Momtaza Mehri, Melvin Moti, Lucy McRae, Johannes Schwartz, Dirk Sijmons, and Leanne Wijnsma.

Dutch/English.

Published 2020.

The More-than-Human reader brings together texts that reflect on the state of post-anthropocentric thinking today, by writers from a wide range of disciplines. Focusing on the ecologies and technologies of climate injustice and inequalities, as well as the destructive structures lurking within anthropocentrism, More-than-Human proposes complex entanglements, frictions, and reparative attention across species and beings.

Thinking past the centrality of the human subject, the texts that compose this reader begin to imagine networks of ethics and responsibility emerging not from the ideologies of old, but from the messy and complex liveliness around and beneath us. 

Rather than attempting to be a comprehensive compendium on the topic (which would be virtually impossible), More-than-Human provides a cross-section of the breadth and vitality of a literary, scientific, and conceptual milieu where multiple strands of work intersect even as they are frequently regarded as belonging to separate disciplinary discourses.

Contributors: Stacy Alaimo, Ramon Amaro, Karen Barad, Rosi Braidotti, Octavia Butler, Georges Canguilhem, Marisol de la Cadena, NASA History Department, Silvia Federici, Scott F. Gilbert, Édouard Glissant, Jack Halberstam, Donna Haraway, Myra J. Hird, Kristina Lyons, Patricia MacCormack, John T. Maher, Michael Marder, Timothy Mitchell, Reza Negarastani, Jussi Parikka, Elizabeth Povinelli, Paul B. Preciado, María Puig de la Bellacasa, Filipa Ramos, Isabelle Stengers, Elly R. Truitt, Anna L. Tsing, Eduardo Vivieros de Castro, Jason Wallin, Kathryn Yusoff and Joanna Zylinska.