What are the limitations of AI in safety predictions?
AI can struggle with unpredictable variables, lack of context, and data bias, affecting its accuracy in safety predictions.
Can you give examples of these unpredictable variables?
Sure! Examples include sudden environmental changes, human behavior, and rare events that weren't included in training data.
How does data bias affect AI predictions?
Data bias can lead to skewed results, as AI learns from historical data that may not represent all scenarios accurately.
What can be done to improve AI safety predictions?
Improving data quality, incorporating diverse datasets, and using hybrid models can enhance AI's predictive capabilities.
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