AI Risk Assessment Checklist

A pre-adoption risk evaluation matrix covering the technical, operational, legal, and ethical risks of any AI system — designed for engineering contexts.

Before committing to an AI system, your teams need a structured way to identify and evaluate risk. This checklist covers the categories that matter in engineering environments — data quality, model reliability, regulatory compliance, human oversight, and failure modes.