AI Risk Assessment

AI risk assessment is the process of identifying, measuring, and prioritizing the risks associated with an AI system before and during its deployment in production. Unlike traditional software risk assessments, AI risk assessment must account for the probabilistic nature of AI outputs, the potential for model drift over time, the differential impact on different user populations, and the risks introduced by the human processes that sit around the system. Effective AI risk assessment is not a one-time exercise conducted before launch: it is a continuous process that tracks how a system’s risk profile evolves as data, usage patterns, and operational context change. At Eticas.ai, risk assessment is the foundation of every evaluation — the process by which we determine which risk dimensions matter most for a specific system and scale our assessment accordingly.