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What is model poisoning?

publish date: 2025/09/23 20:54:41.280101 UTC

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This allows a model to process personal health data

This is when biased or malicious data is injected into the training process

This when a model lacks proper licensing

This is where there are conflicting instructions in a single prompt

Correct Answer

This is when biased or malicious data is injected into the training process

Explanation

Model poisoning is where an attacker maliciously alters training data to produce unethical or harmful outputs. Data exposure allows a model to process personal health data. Licensing is a legal issue. Conflicting instructions can confuse a model, but this isn't considered poisoning.

Reference

AWS Certified AI Practitioner (AIF-C01) Study Guide, Tom Taulli

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