What are the main challenges of implementing AI in electric vehicles?
Some key challenges include data privacy, algorithm bias, and the need for robust infrastructure.
How does data privacy affect AI in EVs?
Data privacy is crucial as EVs collect vast amounts of user data, raising concerns about how it's used and protected.
What about algorithm bias? Can it impact safety?
Yes, algorithm bias can lead to unsafe driving decisions if the AI misinterprets data or fails to account for diverse scenarios.
What infrastructure improvements are needed for AI in EVs?
Improvements include better charging networks, enhanced connectivity, and more advanced sensors for real-time data processing.
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