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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If the true goal is societal risk mitigation, whether through laws, taboos, or mores, it's crippled out of the gate when problems can't be precisely defined. (Choir preach, I know)
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Clarification - Non-ML Algorithms, which can be highly complex, also contain bias, but the bias is 100% identical to the creator's defined and intended purpose.
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