What are the main challenges of AI in transportation?
Some key challenges include data privacy, safety concerns, and the need for robust infrastructure.
How does data privacy affect AI in transport?
Data privacy is crucial as AI systems often rely on personal data to optimize routes and improve services.
What safety concerns are associated with AI in vehicles?
Safety concerns include the reliability of AI decision-making in critical situations and the potential for system failures.
What can be done to improve AI infrastructure in transport?
Improving AI infrastructure can involve investing in better sensors, enhancing data sharing protocols, and ensuring regulatory compliance.
Are there any successful examples of AI in transportation?
Yes, companies like Waymo and Tesla have successfully implemented AI for autonomous driving, showcasing its potential.
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