I like your statement on how "Bing tapped out" while looking for examples. It highlights how the existing content filters just aren't up to snuff. When I was using OpenAI with a pre-filter of (publicly facing) police narratives for indications of human trafficking, OpenAI similarly tapped out, highlighting hate speech and violence. We don't want to stop all legitimate uses of data because there are simply bad words present. This limits data for good use cases as well. We need capabilities like those provided by LITI to correctly identify toxicity and bias in context!