Human biases are well-documented, from tacit association tests that reveal biases we may not even be aware of, to field experiments that demonstrate how much these biases can affect outcomes. In the recent past, society has started to struggle with just how much these human biases can make their way into artificial intelligence (AI) systems, often with negative impacts. At a time when many companies are looking to deploy AI systems across their operations, being acutely aware of those risks and working to reduce them is an urgent priority. Bias is something that we cannot avoid in life. But social bias can be manifested and magnified by artificial intelligence in perilous ways, whether it be in deciding who gets a bank loan or who is kept under surveillance.
Machine learning can…
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