  Various forms of implications of artificial intelligence that either
exacerbate or decrease racial systemic injustice have been explored in this
applied research endeavor. Taking each thematic area of identifying, analyzing,
and debating an systemic issue have been leveraged in investigating merits and
drawbacks of using algorithms to automate human decision making in racially
sensitive environments. It has been asserted through the analysis of historical
systemic patterns, implicit biases, existing algorithmic risks, and legal
implications that natural language processing based AI, such as risk assessment
tools, have racially disparate outcomes. It is concluded that more litigative
policies are needed to regulate and restrict how internal government
institutions and corporations utilize algorithms, privacy and security risks,
and auditing requirements in order to diverge from racially injustice outcomes
and practices of the past.
