Ask these six questions:

1. What data sets did you use to train and evaluate your AI?
2. What is a human doing now that your AI should be doing?
3. Has the AI been used to drive consistent business outcomes and solve a real problem for multiple customers?
4. How much time went into constructing the AI, how much field testing has it been put through and who has examined it and rendered an opinion on it?
5. How easy is it to understand your AI’s decisions or recommendations?
6. What kind of bias does the AI have and how is it mitigated?

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