Artificial intelligence, while powerful, faces inherent constraints like lack of common sense, bias from training data, and inability to generalize beyond specific tasks. These limitations are addressed through human oversight and robust testing. Developers, businesses, and end-users benefit by understanding these boundaries to make informed decisions, ensuring ethical deployment and realistic expectations from AI systems.
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