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No. ML algos are in general high dimensional and non-convex. Which means that the optimizing process is path dependent and critically dependent on the architectural choices and the algorithm used. If you fail at "edge cases" (i.e. minorities), that's incompetence, not objectivity
Bias doesn't need to be intentional. Most human cognitive Biases are built into the structure and function of the brain. They are tacit and many are unintentional but are still Biases. That is standard parlance. Same for neural network Biases.
As a general matter, improve the competence is definitely a way to fight against bias though. And in this specific case, human incompetence leads to biased algorithms.
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