Ever since Andrew Ng famously launched his data-centric AI campaign earlier this year, the idea has been gaining more and more traction within the AI community. I’ve recently discussed the benefits of this approach to businesses from an operational, financial and even environmental perspective.
There are, however, some intrinsic issues that need to be dealt with carefully when working with data sets. These relate to a more profound aspect of human information-processing behavior: I’m talking about cognitive bias.
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