Even advanced models can’t escape the need for human judgment.
We need humans because there isn’t always a true north for what’s correct. Supervised learning works when there’s a clear label, like Obama was president. That’s a fact. But when you get into perception, like whether a joke is funny or which word to use about Obama’s policies, it depends on context and perspective. The same happens with generated images. Art often creates things society didn’t expect, so at what point is something random versus amazing? Since there’s not a true label for certain things, we constantly need people to give feedback on the model and provide guardrails.
— AI and the human factor · The Edge