Expert Prediction

Expert prediction research focuses on improving decision-making by combining human expertise with algorithmic predictions, aiming to surpass the performance of either alone. Current research emphasizes developing methods to efficiently integrate expert knowledge, particularly through "learning to defer" algorithms that strategically allocate predictions between AI and humans, and by statistically auditing the unique value added by human experts. This work has significant implications for high-stakes domains like healthcare and finance, where improving the accuracy and efficiency of decision-making processes can have substantial positive impacts.