The mistake every data scientist has made at least once

If you use a tool where it hasn't been verified safe, any mess you make is your fault… AI is a tool like any other, so the same rule applies. Instead, force machine learning and AI systems to earn your trust. If you want to teach with examples, the examples have to be good. If you want to trust your student's ability, the test has to be good. Always keep in mind that you don't know anything about the safety of your system outside the conditions you checked it in, so check it carefully!