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Question 77 - Certified AI Associate discussion

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What is a potential outcome of using poor-quality data in AI application?

A.
AI model training becomes slower and less efficient
Answers
A.
AI model training becomes slower and less efficient
B.
AI models may produce biased or erroneous results.
Answers
B.
AI models may produce biased or erroneous results.
C.
AI models become more interpretable
Answers
C.
AI models become more interpretable
Suggested answer: B

Explanation:

''A potential outcome of using poor-quality data in AI applications is that AI models may produce biased or erroneous results. Poor-quality data means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor-quality data can affect the performance and reliability of AI models, as they may not have enough or correct information to learn from or make accurate predictions. Poor-quality data can also introduce or exacerbate biases or errors in AI models, such as human bias, societal bias, confirmation bias, or overfitting or underfitting.''

asked 23/09/2024
José Gonçalves
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