Can Data Work be Reparative?
We present an ethnographic study of an alternative approach to data work, developed by a civic-tech initiative that builds datasets for training and benchmarking online safety systems. They aim to respond to online safety concerns from a feminist perspective, by building safety datasets collaboratively with those most impacted by online harms. In this paper, we examine how this approach aims to reorient data work as a site for repair and redress, and trace the struggles they encounter in the process. Specifically, we draw attention to the challenges and tensions involved in advancing just reward for data work and collective governance of AI datasets. Examining these challenges through an ...
| Authors | Srravya Chandhiramowuli, Ding Wang, Alex Taylor |
|---|---|
| Primary category | cs.CY |
| Published | 8 June 2026 |
| Last updated at source | 8 June 2026 |
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