Much has been said about the potential of artificial intelligence (AI) to transform many aspects of business and society for the better. In the opposite corner, science fiction has the doomsday narrative covered handily.

To ensure AI products function as their developers intend – and to avoid a HAL9000 or Skynet-style scenario – the common narrative suggests that data used as part of the machine learning (ML) process must be carefully curated, to minimise the chances the product inherits harmful attributes.

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