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Machine Unlearning Challenge

ai.googleblog.com

31–33 of 33 posts

Re: Machine Unlearning Challenge

#32

They say privacy, but this sounds like a request to make censorship more censor friendly. Edit: People seem to disagree, but is this not a tool for wiping ideas from your training data? Meaning they want to train on Wikipedia and remove concepts (per locale probably) easy as pie. This is Google outsourcing compliance with jurisdictions that require thought policing.

The obvious use case is to comply with things like copyright and data protection laws (e.g. GDPR) without having to discard all models that used data unlawfully in training.

Even though they talk about removing biases from the model, I doubt this would make the model unlearn whole ideas/data patterns without severely damaging performance, which they clearly don't want.

Re: Machine Unlearning Challenge

#33
post #19

Earlier quoted context omitted.

It's just statistics guys. You either put the data in the training set or you don't.

Well, isn't this challenge about altering a model after-the-fact? I.e. we are stuck with this data in the training set and must figure out a way to clean up the model

Yeah you have to retrain it lol. Sorry about your $100 million model, shouldn't have used all that data indiscriminately.
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