Everyone wants “ethical AI.” But what about ethical data?

Behind every model is a mountain of training data—often scraped, repurposed, or just plain stolen. In this article, I dig into what “ethically sourced data” actually means (if anything), who defines it, the trade-offs it forces, and whether it’s a genuine commitment—or just PR camouflage.

This episode is based on the article "Between Idealism and Reality - Ethically Sourced Data in AI". 

https://lnkd.in/gBBVJi6b

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