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.

应用研究论文探讨了人工智能加剧或减轻种族系统性不公对社会的影响。研究从识别、分析和辩论系统性问题的各个主题入手，调查了算法自动化处理种族敏感环境中的人类决策的优缺点。通过分析历史系统化模式、隐性偏见、现有算法风险和法律后果，指出基于自然语言处理的人工智能（如风险评估工具）存在种族不平等问题。论文得出结论：需要更多诉讼政策来规范和限制政府机构和企业如何利用算法，隐私和安全风险，审计要求，以避免过去的不公正结局和做法。

AI与种族平等：理解情感分析、人工智能、数据安全和系统论在刑事司法系统中的应用