Building responsible AI models: The argument for less data • FRANCE 24 English
When it comes to building complex artificial intelligence (AI) models, received wisdom has always favoured bigger datasets. After all, the more data an AI model is exposed to, the more it can "learn". But Abeba Birhane, a cognitive scientist and Senior Fellow in Trustworthy AI at the Mozilla Foundation, warns against this approach. She says that by casting the net as wide as possible, data invariably contains content from parts of the internet we'd rather not be exposed to, in turn creating AI models that become racist, sexist and otherwise biased. She joined us for Perspective to tell us more.
#AI #data #models
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Видео Building responsible AI models: The argument for less data • FRANCE 24 English канала FRANCE 24 English
#AI #data #models
Read more about this story in our article: https://f24.my/9pQK.y
🔔 Subscribe to France 24 now: https://f24.my/YTen
🔴 LIVE - Watch FRANCE 24 English 24/7 here: https://f24.my/YTliveEN
🌍 Read the latest International News and Top Stories: https://www.france24.com/en/
Like us on Facebook: https://f24.my/FBen
Follow us on X (Twitter): https://f24.my/Xen
Browse the news in pictures on Instagram: https://f24.my/IGen
Discover our TikTok videos: https://f24.my/TKen
Get the latest top stories on Telegram: https://f24.my/TGen
Видео Building responsible AI models: The argument for less data • FRANCE 24 English канала FRANCE 24 English
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