Some image generators produce more problematic stereotypes than others, but all fail at diversity - AlgorithmWatch
algorithmwatch.org
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.

  • jungle@lemmy.worldEnglish
    7·
    11 months ago

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