AI's flawed data history fuels current honesty crisis
A generation of education researchers watched two standardized tests tell different stories about the same children. Now those same children are grown and the habit of shaping statistics to fit the question hasn't disappeared. It's just found a new machine.
Two tests. Same children. Same year. One reported that these students were proficient, on track, ready for what came next. The other reported they were not. Both were standardized assessments. Both were administered under conditions designed to ensure consistency. Both were supposed to measure the same thing: whether these children had learned what they were supposed to learn. The results diverged by a margin that researchers have found persistent, systematic, and large enough to shape entire conversations about...
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