Some image generators produce more problematic stereotypes than others, but all fail at diversity - AlgorithmWatch
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Automated image generators are often accused of spreading harmful stereotypes, but studies usually only look at MidJourney. Other tools make serious efforts to increase diversity in their output, but effective remedies remain elusive.

cross-posted from: https://lemmy.ml/post/7481270

Automated image generators are often accused of spreading harmful stereotypes, but studies usually only look at MidJourney. Other tools make serious efforts to increase diversity in their output, but effective remedies remain elusive.

  • jungleEnglish
    7•1 year ago

    Yes, but on the other hand biasing the models could be a way to influence reality.

    • @[email protected]English
      2•1 year ago

      Could be, maybe. Or maybe not. Not sure. But the thing for sure is that forcing the diversity reduces the quality of the model.