Too Big to Inspect? Ethically Auditing Large Datasets Through Small Samples
arXiv:2611.10399v1 Announce Type: new Abstract: Big techs and researchers increasingly claim that their training datasets are too large to inspect for bias and ethical problems. However, in the race to build ever-large models, they have relied on automated web scraping and no human curation. Datasets built this way…
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