Half of the classical problem of any detection system (like GPS, big data, IA): the cost of false positive. The other one being false negative (like an alarm n

Half of the classical problem of any detection system (like GPS, big data, IA): the cost of false positive. The other one being false negative (like an alarm not detecting trepassing). False positive are called artefacts, but people want to believe so much in the infallibility of IT that they use detection system as if the result were error prone. Hence what I call the Oracle syndrome: genuinely scientific person relying on an inaccurate system by nature as an exact system. Then they scale up system an what is anecdotal occurence becomes a serious concern with accumulation. Non conformity with expectations are not handled anymore, they are disdained and measurement systems (hence that can fail) are used as exact systems. It is like death penalty: should we care about the innocent people that will pay a dear price from wrongfully giving too much trust in non perfect systems knowing there is a tendency to make it hard to contest the decision because it would attack the trust we have in the system?