An AI system is designed to act as a financial advisor, creating personalized investment strategies. The system is programmed with a fixed, pre-defined workflow: 1) Assess client's risk tolerance, 2) Select a standard portfolio model, 3) Allocate funds. The system performs poorly for clients with unusual financial situations, such as owning a small business or having complex international assets, because the initial assessment often reveals unique needs not covered by the standard models. What is the fundamental flaw in the system's reasoning design?
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An AI system is designed to act as a financial advisor, creating personalized investment strategies. The system is programmed with a fixed, pre-defined workflow: 1) Assess client's risk tolerance, 2) Select a standard portfolio model, 3) Allocate funds. The system performs poorly for clients with unusual financial situations, such as owning a small business or having complex international assets, because the initial assessment often reveals unique needs not covered by the standard models. What is the fundamental flaw in the system's reasoning design?
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