The more perspectives and lived experiences that are reflected within the AI and data science workforce, the better-equipped organisations will be to actively spot even the most implicit biases that could result in unfair, reputationally damaging outcomes.

Yet the World Economic Forum has found that 78% of the global AI workforce are male – and gender diversity is only one part of a multifaceted picture.

Human oversight and inclusion in the development and deployment of AI technologies is not a nice to have – it is essential.

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