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Content provided by Nathalie Rozencwajg and Melanie Rozencwajg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nathalie Rozencwajg and Melanie Rozencwajg or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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Can AI Unlearn? The Future of AI and Bias Correction

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Manage episode 447826734 series 3482688
Content provided by Nathalie Rozencwajg and Melanie Rozencwajg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nathalie Rozencwajg and Melanie Rozencwajg or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/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!

  continue reading

11 episodes

Artwork
iconShare
 
Manage episode 447826734 series 3482688
Content provided by Nathalie Rozencwajg and Melanie Rozencwajg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nathalie Rozencwajg and Melanie Rozencwajg or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/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!

  continue reading

11 episodes

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