{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/682e4378f1e6dabeea5a45a7/6851711168b0c25e38992d47?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Certified Organic Data - Now With 0% Consent!","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/682e4378f1e6dabeea5a45a7/1750167798606-1fb33e7c-7809-46f7-bd17-a179c1e47041.jpeg?height=200","description":"<p>Everyone wants “ethical AI.” But what about ethical data?</p><p>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.</p><p><br></p><p>This episode is based on the article \"Between Idealism and Reality - Ethically Sourced Data in AI\".&nbsp;</p><p>https://lnkd.in/gBBVJi6b</p>","author_name":"Markus Brinsa"}