Good luck deleting someone's private info from a trained neural network – it's likely to bork the whole thing | 7/15/2019 | Staff
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AI systems have weird memories. The machines desperately cling onto the data they’ve been trained on, making it difficult to delete bits of it. In fact, they often have to be completely retrained from scratch with the newer, smaller dataset.

That’s no good in an age where individuals can request their personal data be removed from company databases under the EU GDPR rules. How do you remove a person’s data from a machine learning that has already been trained? A 2017 research paper by law and policy academics hinted that it may even be impossible.

Deletion - Machine - Learning - Models - Boxes

“Deletion is difficult because most machine learning models are complex black boxes so it is not clear how a data point or a set of data point is really being used,” James Zou, an assistant professor of biomedical data science at Stanford University, told The Register.

In order to leave out specific data, models will often have to be retrained with the newer, smaller dataset. That’s a pain as it costs money and time.

Research - Antonio - Ginart - PhD - Student

The research, led by Antonio Ginart, a PhD student at Stanford...
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