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Can AI Unlearn? The Future of AI and Bias Correction
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Inhalt bereitgestellt von Nathalie Rozencwajg and Melanie Rozencwajg. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Nathalie Rozencwajg and Melanie Rozencwajg oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
In the rapidly evolving world of AI, one of the most pressing questions is: Can AI models truly unlearn?
As AI becomes more integrated into our daily lives, ensuring healthier, bias-free models is crucial. In this episode, we dive deep into a groundbreaking approach—machine unlearning—with Ben Louria, founder of Hirundo.
His platform tackles one of the biggest challenges: removing harmful or biased data from AI systems without requiring a complete retraining. Imagine an AI model that can ‘forget’ misinformation or user-specific data, making the technology more accurate, ethical, and adaptable. Instead of costly and time-consuming retraining, could we just delete the biased data? And what does this mean for AI’s future in industries like healthcare, finance, but also creative fields?
Join us to explore the possibilities of creating healthier AI models and reshaping the future of Artificial Intelligence.
This is an episode you don’t want to miss!
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