What are the main challenges of implementing AI in urban living?
Some key challenges include data privacy, infrastructure limitations, and the need for public acceptance.
How does data privacy affect AI in cities?
Data privacy concerns arise when collecting personal information for AI systems, leading to potential misuse.
What infrastructure improvements are needed for AI integration?
Cities need better internet connectivity, smart sensors, and data management systems to support AI.
Can AI help reduce traffic congestion?
Yes, AI can optimize traffic flow through smart traffic signals and predictive analytics.
What role does public acceptance play in AI deployment?
Public acceptance is crucial; without it, AI initiatives may face resistance and fail to be implemented.
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