Trusted AI Cornerstones: Key Operational Factors

In an earlier post, I shared the four foundations of trusted performance in AI: data quality, accuracy, robustness and stability, and speed. Today I want to talk about another important aspect of trusted AI: the software and human management that facilitate the use of AI. We think of this as the operational environment of an AI system. To create an ideal operating environment for AI, you need compliance, security, humility, governance, and business rules. Before you put a model into production, you may first need to clear compliance hurdles.