COMPUTER NETWORKS AND COMMUNICATIONS
NETWORK SECURITY AND CYBERSECURITY
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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true
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false
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Either A or B
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None of the above
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Detailed explanation-1: -A false positive is an outcome where the model incorrectly predicts the positive class. And a false negative is an outcome where the model incorrectly predicts the negative class. In the following sections, we’ll look at how to evaluate classification models using metrics derived from these four outcomes. Key Terms.
Detailed explanation-2: -But first, let’s understand what a false positive in AI writing detection means. A false positive refers to incorrectly identifying fully human-written text as AI-generated.
Detailed explanation-3: -A true positive is where a rule is configured and logs match that rule for a real threat. This means the rule worked as intended and alarmed correctly. A false positive is where a rule is configured and the log matches the rule, however the logs that matched are not considered a threat and should be ignored.
Detailed explanation-4: -Lack of transparency and explainability. Overreliance on AI. Bias and discrimination. Vulnerability to attacks. Lack of human oversight. High cost. Privacy concerns. The misuse of artificial intelligence may lead to major risks. More items •16-Jan-2023