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I'm rather curious to see how the EU's privacy laws are going to handle this.

(Original article is from Fortune, but Yahoo Finance doesn't have a paywall)

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[-] Primarily0617@kbin.social 208 points 1 year ago* (last edited 1 year ago)

it's crazy that "it's too hard :(" has become an acceptable justification for just ignoring the law within tech circles

[-] BrianTheeBiscuiteer@lemmy.world 94 points 1 year ago

I'm not an AI expert, and I wouldn't say it is too hard, but I believe removing a specific piece of data from a model is like trying to remove excess salt from a stew. You can add things to make the stew less salty but you can't really remove the salt.

The alternative, which is a lot of effort but boo-hoo for big tech, is to throw out the model and start over without the data in question. These companies would do well to start with models built on public or royalty free data and then add more risky data on top of that (so you only have to rebake starting from the "public" version).

[-] Tyfud@lemmy.one 3 points 1 year ago* (last edited 1 year ago)

I work in this field a good bit, and you're largely correct. That's a great analogy of trying to remove salt from a stew. The only issue with that analogy is that that's technically possible still by distilling the stew and recovering the salt. Even though it would destroy the stew.

At the point that pii data is in the model, it's fully baked. It'd be like trying to get the eggs out of a baked cake. The chemical composition has changed into something else completely.

That's how building a model works today. Like baking a cake.

I'm order to remove or even identify pii data in ML models or LLMs today, we'd need a whole new way of baking a cake that would keep the eggs separate from the cake until just before you tried to take a bite out of it. The tools today don't allow you to do anything like that. They bake you a complete cake.

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this post was submitted on 31 Aug 2023
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