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Hamidah Oderinwale

2 accepted papers

2024

Consent in Crisis: The Rapid Decline of the AI Data Commons

NeurIPS 2024poster

General-purpose artificial intelligence (AI) systems are built on massive swathes of public web data, assembled into corpora such as C4, RefinedWeb, and Dolma. To our knowledge, we conduct the first, large-scale, longitudinal audit of the consent protocols for the web domains underlying AI training…

Cited by 36SourceScholar
2024

Croissant: A Metadata Format for ML-Ready Datasets

NeurIPS 2024spotlight

Data is a critical resource for machine learning (ML), yet working with data remains a key friction point. This paper introduces Croissant, a metadata format for datasets that creates a shared representation across ML tools, frameworks, and platforms. Croissant makes datasets more discoverable, por…