What are the main limitations of AI in predicting accidents?
AI in accident prediction faces challenges like data quality, lack of context, and the unpredictability of human behavior.
Can AI accurately predict all types of accidents?
Not all types; AI struggles with rare events and complex scenarios where human intuition is crucial.
How does data quality affect AI predictions?
Poor data quality can lead to inaccurate models, resulting in unreliable predictions and missed insights.
Are there ethical concerns with using AI for accident prediction?
Yes, ethical concerns include privacy issues, accountability for errors, and potential biases in the data used.
What improvements are needed for AI in this field?
Improvements in data collection, model transparency, and integration of human expertise are essential for better predictions.
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