What are the limitations of AI training?

What are the limitations of AI training?

AI training has several limitations, including data bias, overfitting, and the inability to understand context fully.

Can you explain data bias in AI?

Data bias occurs when the training data is not representative of the real-world scenarios, leading to skewed results.

How does overfitting affect AI models?

Overfitting happens when a model learns the training data too well, failing to generalize to new, unseen data.

What can be done to mitigate these limitations?

To mitigate these limitations, techniques like data augmentation, regularization, and diverse training datasets can be used.

Are there any ethical concerns related to AI training?

Yes, ethical concerns include privacy issues, accountability for AI decisions, and the potential for reinforcing societal biases.