AI决策需司法审查，防止算法歧视侵害少数群体权利
Democracy and Distrust in an Era of Artificial Intelligence
- 以司法审查重构AI决策的公平性框架
- 结合程序正义与平等保护原则应对算法风险
- 为政策制定者和法律实践者提供监督依据
本文探讨司法审查如何适应人工智能决策带来的挑战，特别是对少数群体权利的影响。作者指出，人工智能中的私有化、预测性和自动化三大趋势共同加剧了对少数群体的潜在威胁。通过分析法院中针对AI决策的诉讼案例，文章重新阐释程序正义与平等保护原则在当代AI语境下的适用性，提出可嵌入AI系统的监管框架，实现更有效的监督与问责，从而为保护少数群体免受算法歧视提供可行路径。
原文摘要 · Abstract (English)
This essay examines how judicial review should adapt to address challenges posed by artificial intelligence decision-making, particularly regarding minority rights and interests. As I argue in this essay, the rise of three trends-privatization, prediction, and automation in AI-have combined to pose similar risks to minorities. Here, I outline what a theory of judicial review would look like in an era of artificial intelligence, analyzing both the limitations and the possibilities of judicial review of AI. I draw on cases in which AI decision-making has been challenged in courts, to show how concepts of due process and equal protection can be recuperated in a modern AI era, and even integrated into AI, to provide for better oversight and accountability, offering a framework for judicial review in the AI era that protects minorities from algorithmic discrimination.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。