How does training impact human error in AI systems?
Training is crucial as it helps AI learn from data, but poor training can lead to increased human error.
Can you give an example of poor training leading to errors?
Sure! If an AI is trained on biased data, it may make decisions that reflect those biases, causing errors.
What are some ways to improve AI training?
Improving AI training can involve using diverse datasets, continuous learning, and regular evaluations to minimize errors.
How do human biases affect AI training?
Human biases can influence the data selection and labeling process, leading to biased AI outcomes.
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