Analysis of 1,800 AI datasets: ~70% didn't state what license should be used or had been mislabeled with more permissive guidelines than their creators intended (Nitasha Tiku/Washington Post)

Analysis of 1,800 AI datasets: ~70% didn't state what license should be used or had been mislabeled with more permissive guidelines than their creators intended (Nitasha Tiku/Washington Post)

Analysis of 1,800 AI datasets: ~70% didn't state what license should be used or had been mislabeled with more permissive guidelines than their creators intended (Nitasha Tiku/Washington Post)

Analysis of 1,800 AI datasets: ~70% didn't state what license should be used or had been mislabeled with more permissive guidelines than their creators intended (Nitasha Tiku/Washington Post) https://bit.ly/3QaBnzK

Nitasha Tiku / Washington Post:
Analysis of 1,800 AI datasets: ~70% didn't state what license should be used or had been mislabeled with more permissive guidelines than their creators intended  —  The Data Provenance Initiative analyzed data sets used to build generative AI and found confusion surrounding licencing and fair use.


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