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The importance of responsible AI

Given how widely AI is being deployed, many organizations are content to look the other way; so long as there’s value, no need to ask questions. But what about transparency and responsibility?

Enterprises must be able to show that they can responsibly and reliably use AI, and the best way to do that is with algorithm transparency. So, to that end, a cocktail of ML and symbolic AI can be particularly potent. The resulting understanding of human language can cull value from unstructured data, which is then supported by the processing horsepower of ML.