论文标题
在招聘过程中解决算法残疾歧视：道德，法律和技术分析
Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis
论文作者
论文摘要
解决针对残疾人（PWD）的算法歧视（PWDS）需要一种独特的方法，该方法与适用于其他受保护特征的特殊特殊，法律和技术挑战根本不同。我们在招聘流程（或自动化招聘系统，AHS）的人工智能（AI）系统的背景下特别解决这些挑战，其中自动评估程序受到独特的道德和法律考虑，并对PWD产生不可否认的不利影响。在本文中，我们讨论了与残疾歧视有关的AI驱动雇用所带来的担忧和机会。最终，我们旨在鼓励对该主题的进一步研究。因此，我们建立了一些起点，并为伦理学家，议员，倡导者以及AI从业者设计了路线图。
Tackling algorithmic discrimination against persons with disabilities (PWDs) demands a distinctive approach that is fundamentally different to that applied to other protected characteristics, due to particular ethical, legal, and technical challenges. We address these challenges specifically in the context of artificial intelligence (AI) systems used in hiring processes (or automated hiring systems, AHSs), in which automated assessment procedures are subject to unique ethical and legal considerations and have an undeniable adverse impact on PWDs. In this paper, we discuss concerns and opportunities raised by AI-driven hiring in relation to disability discrimination. Ultimately, we aim to encourage further research into this topic. Hence, we establish some starting points and design a roadmap for ethicists, lawmakers, advocates as well as AI practitioners alike.
