What are the main challenges AI faces in improving driver safety?
Some key challenges include data quality, real-time decision making, and ethical considerations.
How does data quality affect AI in driver safety?
Data quality is crucial; inaccurate or biased data can lead to poor decision-making by AI systems.
What ethical considerations should we keep in mind?
Ethical considerations include accountability for accidents, privacy concerns, and the potential for bias in AI algorithms.
Are there any technological limitations that impact AI's effectiveness?
Yes, limitations like sensor reliability, processing speed, and the ability to interpret complex driving scenarios can hinder effectiveness.
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