If by "algorithms" we mean ML—and that's what we mean in 2019—ML is inherently and intrinsically bound with data, and it's increasingly formally (formally, as in mathematically) clear that problem of bias thus isn't solveable. https://arxiv.org/abs/1903.03862 andhttps://arxiv.org/abs/1609.05807
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+1. Machine learning algorithms are biased based on the data they were trained with the same way humans are biased by their experiences. There's no such thing as an unbiased human just one who isn't biased about a specific thing in a specific context. Applies similarly to ML
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Replying to @Carnage4Life @mims and
Yep, and, more and more solid papers showing that there is no way out for ML. Post-hoc intervention is possible, as with humans, but that's a whole different thing.
6:03 PM - 23 Mar 2019
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