A step forward in tracing and documenting dataset provenance

A step forward in tracing and documenting dataset provenance

Training data are crucial for advancements in artificial intelligence, but many questions remain regarding the provenance of training datasets, license enforcement and creator consent. Mahari et al. provide a set of tools for tracing, documenting and sharing AI training data and highlight the import...

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Veröffentlicht in:Nature machine intelligence 2024-08, Vol.6 (8), p.848-849
1. Verfasser: Vincent, Nicholas
Format: Artikel
Sprache:eng
Schlagworte:
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Artificial intelligence
Datasets
Documentation
Engineering
Licensing
Metadata
News & Views
news-and-views
Preprints
Tracing
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Beschreibung
Zusammenfassung:Training data are crucial for advancements in artificial intelligence, but many questions remain regarding the provenance of training datasets, license enforcement and creator consent. Mahari et al. provide a set of tools for tracing, documenting and sharing AI training data and highlight the importance for developers to engage with metadata of datasets.
ISSN:2522-5839
2522-5839
DOI:10.1038/s42256-024-00884-w