Interrupting Merit, Subverting Legibility: Navigating Caste In ‘Casteless’ Worlds of Computing

要旨

Recent work in HCI has shed light on structural issues of inequality in computing. Building on this work, this study analyzes the relatively understudied phenomenon of caste in computing. Contrary to common rhetorics of ‘castelessness,’ we show how computing worlds in India and Indian diasporic communities continue to be shaped and inflected by caste relations. We study how, when and where Dalits (formerly ‘untouchables’) encounter caste in computing. We show how they artfully navigate these caste inscriptions by interpreting, interrupting and ambiguating caste and by finding caste communities. Drawing on the life stories of 16 Dalit engineers and anti-caste, queer-feminist and critical race theories, we argue that a dynamic and performative approach to caste, and other forms of inequality in HCI and computing, emphasizes the artfulness and agency of those at the margins as they challenge structural inequality in everyday life. Lastly, we suggest practical ways of addressing caste to build more open and inclusive cultures of global computing.

受賞
Best Paper
著者
Palashi Vaghela
Cornell University, Ithaca, New York, United States
Steven Jackson
Cornell University, Ithaca, New York, United States
Phoebe Sengers
Cornell University, Ithaca, New York, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3502059

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Justice & Equity I

297
5 件の発表
2022-05-04 18:00:00
2022-05-04 19:15:00