A large-scale audit has been conducted to examine dataset licensing and attribution practices in artificial intelligence, revealing issues with transparency and compliance. The audit reportedly found errors and a lack of transparency in the use of public training datasets, which may raise concerns about privacy and regulatory issues. The findings have prompted efforts to develop platforms and frameworks to track, filter, and regulate the use of audited AI datasets.