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Rooting out racism in AI systems -- there's no time to lose

"I think that racism and bias are rampant in AI and data science from inception," said Desmond Upton Patton, associate professor of sociology at Columbia University. "It starts with how we conceive a problem [for AI to solve]. The people involved in defining the problem approach it from a biased lens. It also reaches down into how we categorize the data, and how the AI tools are created. What is missing is racial inclusivity into who gets to develop AI tools."

A confluence of events has made this the right time for enterprises to examine how racism gets embedded in AI systems. Is your leadership up to the challenge?

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