A new paper explores an alternative approach to data work, focusing on building datasets for AI safety systems through collaboration with individuals impacted by online harms. This method aims to reorient data work as a means of repair and redress, addressing issues of fair compensation and collective governance of AI datasets. The research highlights the importance of accountability in data production and advocates for centering those most affected by current dataset creation practices. AI
IMPACT Proposes a new framework for AI dataset creation that centers affected communities, potentially improving AI safety and ethical development.
RANK_REASON The cluster contains an academic paper published on arXiv.
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