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首页> 外文期刊>The computer & internet lawyer >When Is a Chair Not a Chair?: Big Data Algorithms, Disparate Impact, and Considerations of Modular Programming
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When Is a Chair Not a Chair?: Big Data Algorithms, Disparate Impact, and Considerations of Modular Programming

机译：什么时候椅子不是椅子？：大数据算法，不同的影响和模块化编程的考虑

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摘要

Data algorithms associated with human behavior are integral to a variety of business endeavors. Algorithm quality is in turn intimately related to data quality and size, and as collection measures and relative data sizes increase in volume, algorithms commen-surately increase in complexity. This makes insight into the inner workings of algorithm function more difficult, which is challenging at a time when both the effects of algorithms and the data associated with their development and utilization are undergoing additional scrutiny. This article examines these trends and considers both post-algorithm utilization audits and modular programming approaches as appropriate measures to improve algorithm function and regulatory compliance.
机译：与人类行为相关的数据算法是各种业务活动必不可少的部分。算法质量又与数据质量和大小密切相关，并且随着收集措施和相关数据大小的增加，算法的复杂度也相应增加。这使得深入了解算法功能的内部工作更加困难，而在同时还要对算法的效果以及与算法开发和利用相关的数据进行进一步审查的情况下，这具有挑战性。本文研究了这些趋势，并考虑了算法后利用审计和模块化编程方法，作为改善算法功能和法规遵从性的适当措施。

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