How Should We View Biased Clinical Data in Medical Machine Learning? A Call for an Archaeological Perspective

Researchers from MIT, Johns Hopkins University, and the Alan Turing Institute argue that dealing with biased medical data in AI systems isn’t as simple as the saying “garbage in, garbage out” suggests. AI-biased models have become popular in the healthcare industry. Usually, when data is biased, people try to fix it by collecting more data […]

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