There are many things that can (and will) go wrong in data science applications. Unfortunately it's not just technical issues, often ethical issues will also appear. It would help if people had a checklist of things might go wrong. Enter deon.
If you're looking for inspiration we can really recommend having a glance at the excellent examples in the deon example list here.
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