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Re:US vendor accused of violating GDPR by reputation-scoring... by pton_xd on Saturday June 24, 2023 @06:52PM (#36463379)
Loan companies could model a population's exact historical credit risk by combining extensively detailed loan data, right? But they can't use that calculated credit risk to issue loans because it probably contains off-limits attributes like gender, race, religion, etc.

What about developing their "clean" model by minimizing errors between it and the actual model? The clean model wouldn't contain any regulated inputs but will be as close as you can get to the real thing.

What's the difference, effectively?

Re:US vendor accused of violating GDPR by reputation-scoring... by Dylan16807 on Saturday June 24, 2023 @07:58PM (#36463856)
That depends on what "as close as you can get" means, using just those data points. And whether there's extremely overfit training on recent forbidden parameters with a huge number of degrees of freedom, or whether you have the exact opposite.
Re:US vendor accused of violating GDPR by reputation-scoring... by Obscurity4340 on Saturday June 24, 2023 @11:39PM (#36464951)
Sort of like parallel construction but for companies