In this talk, Dr Ramon Amaro will discuss his forthcoming book Machine Learning, Sociogeny and the Substance of Race (Sternberg/MIT, 2021) which introduces the concept of the ‘black technical object’ as a potential site of investigation into the history of mathematics and the racial logics of contemporary machine learning algorithms. Ultimately, the aim of this talk is to widen discussions on race and algorithmic bias by arguing for revisions to the study of machine bias and the engineering of algorithmic systems. The Data Then and Now speaker series explores the social and organizational history of data and data practices in order to better understand the current data intensive moment through its antecedents and continuities. Everyone interested is welcome to attend. For more information about this event, contact the eScience Institute at escienceadmin@uw.edu |