In investigation of the topic that a new AI has been made that can detect 90% of crimes before they even happen, I found that the claim was in fact correct. After reading articles by the BBC and also IFL science.
In the BBC article that I read, I learned that “The model doesn’t predict who will commit a crime, but rather identifies patterns in where and when crimes are likely to occur". This article supports the idea that newer AI systems can predict crime patterns with up to 90% accuracy by analyzing past data, showing how technology is shifting toward anticipating crime before it happens rather than just reacting to it.
In the IFL science article that I read, I learned that researchers developed an AI system that analyzes crime data to predict where and when crimes are likely to happen up to a week in advance with about 90% accuracy, showing how AI can be used to anticipate crime patterns before they occur rather than only responding after the fact.
Predictive crime AI can be biased because it learns from past police data, which may already focus more on certain neighborhoods, making them seem more “criminal” than they really are. This can create a cycle where those areas keep getting more police attention, which keeps reinforcing the same prediction.