False Positive

An error in which a system incorrectly identifies something as present or true when it is not. In privacy and obfuscation contexts, a false positive occurs when an AI system incorrectly flags non-private content as private and applies obfuscation unnecessarily, potentially hiding information the user needs. In accessibility testing, false positives from automated tools can waste time by flagging issues that are not actual barriers, though they are generally considered less harmful than false negatives.