论文标题
人工智能公平：理解情感分析人工智能，数据安全和刑事司法系统中的系统理论
AI & Racial Equity: Understanding Sentiment Analysis Artificial Intelligence, Data Security, and Systemic Theory in Criminal Justice Systems
论文作者
论文摘要
在这项应用的研究努力中，已经探索了人工智能的各种形式的人工智能的影响。借用了每个主题识别，分析和辩论系统问题的领域，这些领域已利用了研究在种族敏感环境中使用算法来自动化人类决策的优点和缺点。通过分析历史系统性模式，隐性偏见，现有算法风险和法律含义，基于自然语言处理的AI（例如风险评估工具）具有种族歧视的结果，它已经断言。结论是，需要更多的诉讼政策来规范和限制内部政府机构和公司如何利用算法，隐私和安全风险，以及审计要求，以与过去的种族不公正成果和实践不同。
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.
