What are the challenges of implementing AI in buses?
An example of an AI chatbot conversation about challenges of AI in public transportation.
What are the main challenges of implementing AI in buses?
Some main challenges include high costs, data privacy concerns, integration with existing systems, and ensuring safety.
How does data privacy affect AI in buses?
Data privacy is crucial as AI systems collect and analyze passenger data, which must be protected to maintain trust.
What about the safety concerns?
Safety concerns arise from the need for reliable AI decision-making in real-time, especially in unpredictable traffic situations.
Are there any successful examples of AI in public transport?
Yes, cities like Singapore and San Francisco have successfully integrated AI for route optimization and predictive maintenance.
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