Systematic ML testing for safe autonomous-driving AI

Overview

This Lakera perspective explains why train/validation/test performance alone can miss operational vulnerabilities. It proposes bringing systematic software-testing practices into ML development and CI/CD quality gates so that weaknesses are investigated before deployment.