[Hyperbolic]

After working for a few companies who (tried to) make ML products, I think one of the most important questions to ask is "who owns the data you are building models on?". It is way harder for a company to build good models off data they don't have complete access to and full knowledge about. The worst (and unfortunately common) scenario for companies trying to do AI is that data scientists don't have full access to all priors necessary to build good models, and the owners of the data don't really know much about it either. Spells death of company

[alvis]

Well said. It is a good tester of knowing how clear the people understand the problem themselves. Many people (particularly non-science background ones, no offence) don't know which kind of data they should access to build a product and, even worse, whether they have access to the data.

Not knowing the answer of this question = they do not know they are travelling on Titanic at best, if not a boat full of holes.