Using decision theory, the authors conclude that ML-based AI systems are not positioned to solve missing data identification problems better than humans in prediction and treatment choice.
Learning from Data with Structured Missingness
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A Decision Theoretic Perspective on Artificial Superintelligence: Coping with Missing Data Problems in Prediction and Treatment Choice
Using decision theory, the authors conclude that ML-based AI systems are not positioned to solve missing data identification problems better than humans in prediction and treatment choice.