The algorithms powering the world's automated investment platforms are going toe-to-toe over trillions of dollars of investment assets versus their human counterparts, who are slower and more prone to mistakes.
But the algorithms, which can speed up financial processes by making millions of calculations faster than any human ever could, are not infallible. The hidden problem of relying on software is that they still have the computational assumptions of their programmers and can be based on outdated and flawed information, according to some critics and computer programmers.
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