An Artificial Intelligence (AI) solution is only as good as the
data that trains it. The more complete the data on which an AI is
trained, the more valuable will be the output. An AI gains insights
from the data and can make predictions, automate processes and
perform other tasks that it is trained to do.
But just like human beings, if an AI has nothing on which to
base its predictions, its output will be worthless. Or even worse
if an AI system is fed deliberately wrong data then the outcome,
predictions or performing tasks will lead to devastating
results.
Imagine a scenario where in the health sector an AI solution is
making diagnostic decisions based on the large data set and
training models relating to health. If this data is tampered with,
the AI can make incorrect and harmful decisions which could also
lead to loss of human life.
