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June 14, 2018 09:00 pm GMT

The problem with explainable AI

The first consideration when discussing transparency in AI should be data, the fuel that powers the algorithms. Because data is the foundation for all AI, it is valid to want to know where the data comes from and how it might explain biases and counterintuitive decisions that AI systems make.

Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/Jfj6TkuQO9I/

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