Since the time you follow us on Croblanc, you are beginning to be used to hear about the Youtube channel Bloomberg Technology, and its viral videos that are always talked about on the web, and even beyond! That's why we're writing this article today, because we already know that it will arouse your interest.
We propose you today to find the last video of the Youtube channel Bloomberg Technology which is simply called Calling Out the Racial and Gender Bias in Generative AI. If you liked it, don't hesitate to like the content to support the author of the video!
The video has been posted for less than an hour and is currently the talk of the web. Usually the new videos of the Youtube channel Bloomberg Technology are much less talked about. Soon in trends? That's all the bad news we wish him, considering the work this channel has been doing for many years now!
Do you have a problem with this video? Or did you see a small error in the content you just watched? First solution to contact the author of this video is on Youtube: Try to find his email address in "About". If you don't get an answer, you can try again to contact him but on another platform. Twitter seems to be a pretty easy way to contact a Youtuber about one of his contents.
The whole editorial staff hopes you enjoyed this article, as well as the video Calling Out the Racial and Gender Bias in Generative AI you discovered today with us. When we write an article and we see that it gets views because our community likes it, we can't wait to convince you to come back and read us more often! So do us a favor and come back regularly on Croblanc to follow other videos of Bloomberg Technology.
Friends, this is already the end of this little editorial, see you soon for a new article on Croblanc!
For your information, you can find below the description of the video Calling Out the Racial and Gender Bias in Generative AI published by the Youtube channel Bloomberg Technology:
Bloomberg's Leonardo Nicoletti joins Caroline Hyde and Ed Ludlow to discuss how Stable Diffusion’s text-to-image model takes racial and gender disparities to extremes — worse than those found in the real world.
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