The intuition that complex learning systems are unreliable due to their inscrutable complexity will become moot once we train them to generate proof for their solutions.
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Replying to @BobPurvy1
These are not the conditions under which you can prove correctness of the classification result (and no human can do that either). But you can prove the properties of the algorithm that you use to classify your data.
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Replying to @BobPurvy1
Facial recognition is not a domain in which you will get provably correct results, until you can reconstruct an individual genotype from the phenotype. However, you may show that a feature learning algorithm extracts at least as much information as a reference algorithm.
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No, facial recognition is a pattern recognition task. I am not talking about the previous and current generation of systems, to which the above concerns do not yet apply.
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