‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn.
A CT scan of a tumor in human lungs. Researchers are experimenting with AI algorithms that can spot early signs of the disease.From biomedicine to political sciences, researchers increasingly use machine learning as a tool to make predictions on the basis of patterns in their data. But the claims in many such studies are likely to be overblown, according to a pair of researchers at Princeton University in New Jersey.
Judging such errors is subjective and often requires deep knowledge of the field in which machine learning is being applied. Some researchers whose work has been critiqued by the team disagree that their papers are flawed, or say Kapoor’s claims are too strong. In social studies, for example, researchers have developed machine-learning models that aim to predict when a country is likely to slide into civil war.
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