AI Governance & Compliance: Legal Frameworks for Intelligent Systems
The definitive practitioner course on EU AI law — all five foundational chapters in one volume.━━━━━━━━━━━━━━━━━━━━WHAT'S INSIDE━━━━━━━━━━━━━━━━━━━━✔ Chapter 01 — AI Systems and the LawLegal definitions, the EU AI Act risk pyramid, the liability gap, and how human rights law applies to AI systems. The foundation every practitioner needs before going further.✔ Chapter 02 — The EU AI Act: Architecture and Risk ClassificationAll six Article 5 prohibited practices. The Annex III high-risk classification in depth. Provider vs deployer obligations. Conformity assessment pathways (Annex VI and VII). The CE marking process.✔ Chapter 03 — GPAI Models and Foundation Model GovernanceWhat makes a model "general-purpose" in law. Articles 53–55 transparency and systemic risk obligations. The 10²⁵ FLOP threshold. The GPAI Code of Practice (July 2025) and its safe harbour effect.✔ Chapter 04 — Algorithmic Accountability and BiasGDPR Article 22 and automated decision-making. Direct and indirect discrimination in AI systems. Bias metrics and the equality standard. Fundamental Rights Impact Assessments. How to build an algorithmic accountability programme.✔ Chapter 05 — Generative AI: IP, Copyright, Deepfakes, and Content ModerationThe CDSM Directive TDM exception for AI training. Who owns AI-generated outputs. The deepfake legal framework and the EU AI Act Article 50 disclosure obligation. DSA systemic risk for platforms. Case studies: NYT v OpenAI, SyRI, Apple Card.━━━━━━━━━━━━━━━━━━━━ALSO INCLUDED━━━━━━━━━━━━━━━━━━━━→ 100+ multiple-choice quiz questions with answer keys and explanations→ 5 extended scenario analyses (MediaGen, MedFinAI, and more)→ Jurisdiction comparison tables: EU, UK, US, and China side by side→ Full bibliography with primary sources, CJEU case law, and EDPB guidelines→ PDF bookmarks for every chapter — navigate instantly in any reader━━━━━━━━━━━━━━━━━━━━WHO THIS IS FOR━━━━━━━━━━━━━━━━━━━━→ Lawyers and in-house counsel advising on AI Act compliance and regulatory investigations→ DPOs and compliance officers building AI governance programmes→ AI product teams navigating what their systems must do to reach the EU market legally→ Policymakers and public sector professionals implementing national AI Act obligations→ Students preparing for CIPP/E, CISM, or bar examinations with an AI law component━━━━━━━━━━━━━━━━━━━━ABOUT THE AUTHOR━━━━━━━━━━━━━━━━━━━━Dr. John Negus, PhD is a legal scholar and technologist working at the intersection of cybersecurity law and AI governance. He is the founder of VeriPatch Labs — a verified remediation platform for managed service providers — and the creator of Lomo Academy's professional development curriculum.
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