Algorithmically encoded identities: reframing human classification

Dylan Baker, A. Hanna, Emily L. Denton
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引用次数: 2

Abstract

Our aim with this workshop is to provide a venue within which the FAT* community can thoughtfully engage with identity and the categories which are imposed on people as part of making sense of their identities. Most people have nuanced and deeply personal understandings of what identity categories mean to them; however, sociotechnical systems must, through a set of classification decisions, reduce the nuance and complexity of those identities into discrete categories. The impact of misclassifications can range from the uncomfortable (e.g. displaying ads for items that aren't desirable) to devastating (e.g. being denied medical care; being evaluated as having a high risk of criminal recidivism). However, even the act of being classified can force an individual into categories which feel foreign and othering. Through this workshop, we hope to connect participants' personal understandings of identity to how identity is 'seen' and categorized by sociotechnical systems.
算法编码身份:重构人类分类
我们举办这个研讨会的目的是为FAT*社区提供一个场所,让他们能够深思熟虑地参与到身份和分类中来,这些都是强加在人们身上的,作为理解他们身份的一部分。大多数人对身份类别对他们的意义有着微妙而深刻的个人理解;然而,社会技术系统必须通过一组分类决策,将这些身份的细微差别和复杂性减少到离散的类别中。错误分类的影响可以从令人不舒服(例如,展示不受欢迎的商品广告)到毁灭性(例如,被拒绝医疗服务;被评估为有很高的再犯风险)。然而,即使是被分类的行为也会迫使一个人感到陌生和他者。通过这次研讨会,我们希望将参与者对身份的个人理解与社会技术系统如何“看待”和分类身份联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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