A new dataset paper, Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark, by Gao, Pradeepkumar, Das, Thati, and Sun, offers an important lens on the role of labeling in high-stakes AI development-particularly in healthcare, where the cost of getting it wrong is high.
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