Construct · 1 fields · 1 citations
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In human-computer interaction, data cascades refers to compounding problems in high-stakes AI systems that start from poor data practices upstream and surface later as harms, because data work is undervalued compared with model work. This meaning comes from Sambasivan (2021) in Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.[1]
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