Using bigger AI training data sets may produce more racist results

Larger training sets don't reduce bias in artificial intelligence Many tech companies have operated under the assumption that training artificial intelligence on more data can help fix the ongoing problem of AIs replicating human prejudices. But a study has found that AIs trained on increasingly larger data sets can produce even more racist results. Abeba Birhane at the Mozilla Foundation and her colleagues compared two data sets provided by the Large-scale Artificial Intelligence Open Network (LAION), a non-profit that offers open-source data sets for AI training.