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/7524034

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.

  • @[email protected]
    3•1 year ago

    Honestly it’s way less bad than I thought it would be. That probably says more about my expectations than about the output, but it looks like a lot of the players are making conscious (though ineffective and often misguided) efforts at inclusion.