- Machine unlearning is a developing field of research focused on removing specific data from trained AI models
- Deep learning models in AI have the ability to memorize training information and repeat it, posing potential problems
- Machine unlearning aims to produce a model close to a completely retrained one, minus problematic data
- Various techniques for machine unlearning exist, such as exact unlearning, strong unlearning, and weak unlearning
- Machine unlearning may become increasingly important due to privacy concerns and regulatory requirements in the AI landscape
https://www.xda-developers.com/what-is-machine-unlearning/
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Published on: September 23, 2020
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Machine Unlearning
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