Robotics & Artificial Intelligence
What would happen if AI models were trained with insufficient or poor-quality data?
- The AI model would likely provide highly accurate predictions.
- The AI model would not work at all.
- The performance and accuracy of the AI model would be negatively impacted.
- The AI model would become faster but less accurate.
Role of Data & Information
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Answer
The performance and accuracy of the AI model would be negatively impacted.
Reason — AI algorithms require a huge amount of relevant, good-quality data to learn patterns and make accurate predictions. The performance and accuracy of AI models are considerably impacted by the quantity, quality, and relevance of the data used. Therefore, if an AI model is trained with insufficient or poor-quality data, it will produce incorrect predictions and unreliable results.
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