CompTIA
CAS-005 · Question #174
Which of the following best explains why AI output could be inaccurate?
The correct answer is A. Model poisoning. Model poisoning involves deliberately feeding malicious or biased data into an AI model during training, leading to inaccurate or manipulated outputs. It directly affects the model's behavior and reliability.
Submitted by lukas.cz· Mar 6, 2026Security Engineering
Question
Which of the following best explains why AI output could be inaccurate?
Options
- AModel poisoning
- BSocial engineering
- COutput handling
- DPrompt injections
How the community answered
(66 responses)- A94% (62)
- B3% (2)
- C2% (1)
- D2% (1)
Explanation
Model poisoning involves deliberately feeding malicious or biased data into an AI model during training, leading to inaccurate or manipulated outputs. It directly affects the model's behavior and reliability.
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