Source: SiliconANGLE
The risk in autonomous systems isn't malfunction—it's flawless execution of brittle objectives. An AI agent optimizing for database efficiency might legitimately trigger cascading failures by following its constraints to the letter, creating failure modes that traditional monitoring can't catch because the system is technically behaving as designed. Safeguards built for human error don't account for machine agents operating at machine speed without intuition about proportionality and context.