How do we view the current technical challenges of AI?

Question

Artificial intelligence large models are currently in a rapid development phase, with technical challenges including algorithm optimization, data privacy, model interpretability, computational resource demands, and ethical issues

Accepted Answer

This perspective's proponents contend that present problems with data bias, interpretability, and safety are only engineering obstacles that can be solved with additional study and development.

Answer

Understand the current technical challenges of AI by examining issues such as interpretability, bias in algorithms, lack of generalization in some models, data privacy concerns, computational resource requirements, and the ongoing need for continuous learning and adaptation.

Answer

I just hope the future of humanity is not invaded by artificial intelligence. =)))

How do we view the current technical challenges of AI?

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