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Explanation This requirement causes the greatest challenge because AI systems are probabilistic and non-deterministic by nature. Monte Carlo Monte Carlo Statistical Uncertainty: Unlike traditional rule-based software, AI models (especially machine learning) make "statistically informed guesses" rather than absolute factual deductions. Theoretical Impossibility: 100% accuracy is widely considered a myth or an unrealistic goal for AI due to inherent ambiguities in data, cultural biases, and the inability of models to handle every possible edge case. The "Oracle Problem"