How can we improve AI robustness?
An example of an AI chatbot conversation about AI robustness and its improvement strategies.
How can we improve AI robustness?
Improving AI robustness involves enhancing its ability to handle unexpected inputs and maintain performance.
What are some techniques used to achieve this?
Techniques include adversarial training, regularization, and using diverse training datasets.
Can you explain adversarial training?
Adversarial training involves exposing the AI to challenging examples during training to improve its resilience.
Are there any real-world applications of robust AI?
Yes, robust AI is crucial in fields like autonomous driving, healthcare diagnostics, and financial forecasting.
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