False Negative
Also known as: Type II Error
An error in which a system fails to identify something that is actually present or true. In privacy and obfuscation contexts, a false negative occurs when an AI system fails to detect private content that should be obfuscated, potentially exposing sensitive information like personal documents, medication, or other private items to unintended viewers. False negatives in obfuscation are particularly concerning for blind users who cannot visually verify what their camera captures.
Category: artificial intelligence · testing
Related: False Positive · Privacy Leak · Obfuscation