硅谷三角恋：招聘算法、伪科学和对可审计性的追求
A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability
摘要：
在本文中，我们提出了一个系统的方法来开发社会技术评估雇用ADS。我们建议使用一个矩阵来揭示植根于对人性和能力的伪科学本质化理解的潜在假设，并批判性地调查未能解决这些假设的新兴审计准则和实践。
英文摘要：
In this paper, we suggest a systematic approach for developing socio-technical assessment for hiring ADS. We suggest using a matrix to expose underlying assumptions rooted in pseudoscientific essentialized understandings of human nature and capability, and to critically investigate emerging auditing standards and practices that fail to address these assumptions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
