Machine learning algorithms process vast quantities of data and spot correlations, trends and anomalies, at levels far beyond even the brightest human mind. But as human intelligence relies on accurate information, so too do machines. Algorithms need training data to learn from. This training data is created, selected, collated and annotated by humans. And therein lies the problem. Bias is a part of life, and something that not a single person on the planet is free from. There are, of course, varying degrees of bias – from the tendency to be drawn towards the familiar, through to the most potent…

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