Managing AI Risks: Inventory, Assessments and Evaluations
Three pillars make an AI governance programme defensible, the AI inventory that indexes every system, structured assessments that judge what could go wrong, and empirical evaluations that test how the system actually behaves.
Download PDFBy Federico Marengo·AI Governance Partner, White Label Consultancy
Most AI governance programmes have some version of an inventory, a partial version of assessments, and nothing resembling evaluations. This whitepaper sets out why all three pillars matter, and why the relationship between them matters as much as each one alone.
The full whitepaper walks through each pillar in turn, the legal basis that increasingly requires it (the EU AI Act's risk management and testing obligations, GDPR and CCPA/CPRA assessment duties, ISO/IEC 42001 and the NIST AI Risk Management Framework), and where organisations most often underestimate the work.
Download the full whitepaper for the complete breakdown, including the regulatory detail behind each pillar and how they feed each other in a working programme.
See the AI inventory, assessments, and evaluations working together in Pritect.