Simple questions you should ask to help reduce AI hype

As Machine Learning captures our imagination, it’s important to separate the material from the hype. Here are 5 simple questions you should ask to help reduce AI hype:

  • “How much training data is required?”
  • “Can this work unsupervised (= without labelling the examples)?”
  • “Can the system predict out of vocabulary names?” (i.e. Imagine if I said “My friend Rudinyard was mean to me” – many AI systems would never be able to answer “Who was mean to me?” as Rudinyard is out of its vocabulary)
  • “How much does the accuracy fall as the input story gets longer?”
  • “How stable is the model’s performance over time?”

source: Stephen Merity of Salesforce

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