And some people are biased about what biases they want to fix, and what they consider to be bias to begin with.
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This is an interesting read: "We formalize three fairness conditions that lie at the heart of these debates, and we prove that except in highly constrained special cases, there is no method that can satisfy these three conditions simultaneously" https://arxiv.org/pdf/1609.05807.pdf …
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Learning algorithms are designed by people, so [what they pay attention to in data] is inherently biased. No?
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In the best scenarios, bias is a design parameter in learning algos. You can bias towards the population mean, the majority class, the minority class, precision, recall, etc. etc. etc. It’s false to suggest that only data has bias. For
@ylecun to say otherwise is disingenuous.
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Algorithms favoring likes or visit counts are biased towards catchy banalization and fake news. Algorithms should be biased towards law and ethical norms of the society
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Algorithms certainly can be biased. You can add bias to an algorithm with a few lines of code.
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*selection* of data can be biased *selection* of algorithms can be biased *selection* of testing can be biased *selection* of feedback can be biased ...
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Learning algorithm are also biased; there is a choice of (hyper)parameters.
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Una mica de "bias" és la salsa de la vida! Que avorrit seria tot plegat sinó!
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But I just hope biased data will not be fixed by another biased person.
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