Can you explain what a false negative is in the context of AI?
A false negative occurs when a system incorrectly identifies a negative result, meaning it fails to detect a condition that is present.
Can you give me some real-world examples of false negatives?
Sure! One example is in medical testing, where a test fails to detect a disease that a patient actually has.
Are there any examples in security systems?
Yes, in security systems, a false negative might occur if a facial recognition system fails to identify a person on a watchlist.
How can false negatives impact decision-making?
False negatives can lead to missed opportunities or risks, as decisions are based on incorrect assumptions about the absence of a condition.
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