  In this paper we hope to identify how the typical or standard artificial
intelligence development process encourages or facilitates the creation of
racialized technologies. We begin by understanding Sylvia Wynter's definition
of the biocentric Man genre and its exclusion of Blackness from humanness. We
follow this with outlining what we consider to be the typical steps for
developing an AI-based technology, which we have broken down into 6 stages:
identifying a problem, development process and management tool selection,
dataset development and data processing, model development, deployment and risk
assessment, and integration and monitoring. The goal of this paper is to better
understand how Wynter's biocentric Man is being represented and reinforced by
the technologies we are producing in the AI lifecycle and by the lifecycle
itself; we hope to identify ways in which the distinction of Blackness from the
"ideal" human leads to perpetual punishment at the hands of these technologies.
By deconstructing this development process, we can potentially identify ways in
which humans in general have not been prioritized and how those affects are
disproportionately affecting marginalized people. We hope to offer solutions
that will encourage changes in the AI development cycle.
