Every organization believes its AI deployment is unique, but the reality is that AI systems can evolve beyond their intended parameters in predictable ways. Last week’s examination of Grok’s “MechaHitler” incident highlighted a moment that should be a wake-up call for organizations, but for many, the alarm hasn’t fully registered. This week, we dive into a critical next step: understanding your organization’s unique AI risk landscape before an unexpected failure becomes your reality.
AI Governance Series, Part 2: Mapping Your AI Risk Landscape
