nice anecdote thanks for sharing. You assert that it was not really ML. I think it is, It may not be true AI, however patten matching/recognition is the core p

nice anecdote thanks for sharing. You assert that it was not really ML. I think it is, It may not be true AI, however patten matching/recognition is the core part of ML. ML is just a stochastic and statistical approach to do pattern matching, the hype around ML has kind of distorted the expectation from the field. You don't have to really control the input, it is not difficult to automate the sanitation by building a feedback loop of abuse reports to delete patterns from the corpus, if you cannot release before significant cleanup, you could either use something like Mechanical Turk/ Crowd-sourced paid users to test the system extensively, or be more through generate millions of possible questions and the answers for them and run content moderation tools on them, human assisted or otherwise, or build a filter layer into your chatbot itself. None of these approaches of course give you a guarantee something won't go wrong, they give you a reasonable probability it won't.