Overview

What if the AI system you're building right now is already subject to EU law-even if you're based outside Europe, using open-source models, or treating compliance as a post-launch checkbox? Bullet Points That Pick Curiosity: The three classification questions that instantly determine whether your system falls under the AI Act (and why 73% of product teams answer them incorrectly) How ""human oversight"" requirements translate into specific API endpoints, database schemas, UI constraints, and logging architectures-not philosophical principles Why your open-source model exemption likely fails when you fine-tune on domain data, and how API consumers inherit hidden foundation model obligations The exact documentation structure and evidence trail auditors expect-mapped directly to your existing Git workflows, MLOps pipelines, and Jira tickets Post-market monitoring as an engineering function: what triggers mandatory incident reporting, and how to build continuous compliance into CI/CD without killing velocity Stop retrofitting compliance after deployment. Get the handbook that turns regulatory obligations into production-ready engineering requirements-before your next sprint planning session.

Full Product Details

9798241117724

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available