Actionable Meta-Requirements for AI Robustness Auditing

Explain Like I'm Normal

Researchers have proposed a set of 'meta-requirements' to standardize how we audit AI systems for robustness. The goal is to ensure that auditing frameworks can actually handle edge cases like input perturbations and distribution shifts rather than just ticking boxes. This provides a blueprint for developers to build more dependable systems that survive real-world chaos.