法律如何解决算法偏见在医疗保健领域的影响?

LSE Law Review Pub Date : 2024-03-08 DOI:10.61315/lselr.651
Zoya
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引用次数: 0

摘要

本文探讨了英国的 "硬性法律 "如何适应医疗保健领域的算法偏见。我探讨了算法偏见的原因,为法律如何解决这一问题奠定了基础。我批判性地分析了《过失侵权法》、《2010 年平等法》和《2002 年医疗设备法规》的内容,揭示了这些框架在应用于算法偏见时的不足之处。随后,我就如何调整法律以确保算法不会延续现有偏见和歧视患者提出了建议。本文承认,解决算法偏见问题将涉及硬法和软法措施的结合,但在最后一部分,本文将论证还需要迫切的系统性变革(数据共享和工作场所多样性),以使法律能够解决算法偏见在医疗保健领域的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Can the Law Address the Effects of Algorithmic Bias in the Healthcare Context?
This paper examines how UK ‘hard laws’ can adapt to regulate algorithmic bias in the healthcare context. I explore the causes of algorithmic bias which sets the foundation for how the law will address this issue. I critically analyse elements of the tort of negligence, the Equality Act 2010, and the Medical Devices Regulations 2002 which reveal the inadequacies of these frameworks in their application to algorithmic bias. Following this, I make recommendations on how the law can adjust to ensure that algorithms do not perpetuate existing biases and discriminate against patients. This paper acknowledges that addressing algorithmic bias will involve a mixture of hard and soft law measures, but in the final section, it will be argued that urgent systemic change (data sharing and workplace diversity) is also needed to enable the law to address the effects of algorithmic bias in the healthcare context.
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