Most people understand and accept that human decision-making is tainted by bias. But what is less understood is how these human biases can creep into technology intended to streamline or improve decisions made by machines. Amazon’s recent recruitment fiasco is an instructive example.
In 2017, Amazon was forced to abandoned plans to apply artificial intelligence (AI) to the recruitment of new engineers after its computers picked up on the sexist biases of the company’s recruitment processes.
