An AI model predicts vehicle component failures using data collected at different frequencies and formats based on car type.Which of the following is the BEST course of action when evaluating data input requirements for the model?
Answer(s): A
Standardizing data frequency and formats ensures consistent input quality, comparability, and reliability across sources, which is essential for model validity, stable performance, and auditability when training and operating predictive AI systems.
Which of the following is the MOST relevant control to prevent data and model poisoning?
Using data from trusted sources directly prevents malicious data injection and manipulation at the input stage, which is the primary attack vector for both data poisoning and model poisoning, making it the most effective preventive control.
Which of the following is the MOST effective way to mitigate the risk of AI model theft?
Answer(s): D
Simulating attacks and regularly updating query processing logic directly addresses model extraction and inference attacks by identifying exploitation patterns and strengthening system defenses, making it the most effective operational control to mitigate the risk of AI model theft.
A healthcare provider uses an AI tool to diagnose diseases. An audit reveals inconsistencies between AI-generated diagnoses and actual real-world diagnoses.Which of the following controls is MOST important to strengthen to help prevent future occurrences?
Answer(s): B
A continuous model validation and performance monitoring framework ensures ongoing comparison between AI outputs and real-world outcomes, enabling early detection of model drift, accuracy degradation, and clinical reliability issues, which is essential for preventing repeated diagnostic inconsistencies in operational AI systems.
Which of the following would BEST prevent a generative AI model from disseminating inaccurate medical research results?
Retrieval-augmented generation grounds model outputs in verified, authoritative external sources, ensuring responses are based on validated medical research rather than probabilistic generation, which directly prevents the dissemination of inaccurate or fabricated medical information.
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