Hacker News new | ask | show | jobs
by gf000 23 days ago
So you have a huge number of photos of white people in the training data set, but other ethnicities exist. So to make the otherwise white-biased dataset less biased, you try to e.g. add a hidden system prompt that whenever the user asks for a group of people (unspecified ethnicity), it may instead ask for "mixed ethnicities" or whatever.

Ask for a group of Nazis, and that's it - this is how models work. No "LGBTQ liberal" propaganda is needed to explain it. Unlike what Musk is doing.

1 comments

The training data and the end result should reflect the real world. No you don't need to "add bias to fight bias", just keep it truthful. Don't force SF-brained forced diversity/inclusion/whatever, we know well some models do.