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.

AI开发过程中的人工智能发展、种族化技术、生物中心人类群体定义、基于AI的技术、黑人特征的识别如何通过AI技术的生命周期及其本身被再次强化；我们希望通过解构这一开发过程找出未优先考虑人类的方式，并说明这种影响如何不成比例地影响到边缘群体，并提出鼓励AI开发周期变革的解决方案。

人为干预在人工智能开发过程中的潜在渠道识别