AI Governance Specialist: An Expert's Guide to Reading Enforcement, Authority, and Compensation Like a Senior Practitioner — Ebook (EPUB + PDF)

If you already know that Article 5 bans certain practices and Annex III lists the high-risk categories, this book won't re-teach you that. It's written for the practitioner a board or a market-surveillance authority actually turns to once the question stops being "what does the regulation say" and becomes "what do we do about it, with what staffing, on what timeline, and who's accountable if we're wrong." That's a different skill, and most governance titles get created faster than the authority behind them does: a Chief AI Officer now sits in 76% of large organizations, while only 14% have defined C-suite accountability for what their AI spending actually produces.

This book closes that gap with real mechanics, not reassurance. You'll learn to read the EU AI Act's post-Omnibus timeline as a signal rather than a retreat, run the governance-theater test that separates a real committee from a standing meeting with a compliance-sounding name, and build the technical file Article 43's internal self-assessment route actually demands — because for nearly every high-risk system except biometric identification, no notified body is ever coming to check your work. Four rehearsed senior-interview exercises, a four-jurisdiction regulatory map, and the real compensation data behind VP titles, Principal IC tracks, and credential stacking round out a book built for someone about to sit across from a board, a regulator, or a hiring panel that already knows the vocabulary and is testing the judgment.

Inside

• The post-Omnibus EU AI Act timeline decoded article by article — why Article 50 transparency stayed live on schedule while Annex III conformity split to December 2, 2027 and August 2, 2028, and what that deferral pattern predicts about the next amendment
• A four-jurisdiction regulatory map that teaches four different failure modes: Colorado's law repealed six weeks before its own effective date, Brazil's real enforcement running through the LGPD while PL 2338 is still pending, Saudi Arabia's "non-binding" SDAIA principles enforced through government-procurement leverage, and four incompatible regulatory philosophies running across APAC at once
• The governance-theater diagnostic — the exact test (name a project the function actually blocked, and who had the authority to make it stick) for telling real governance authority from a title, plus the six-step checklist for auditing a committee's decision log against its own procurement records
• Article 43's conformity-assessment myth unpacked: why almost every high-risk system self-assesses under Annex VI with no external auditor ever in the loop, what an Annex IV-grade technical file (subgroup-disaggregated, not aggregate) actually has to say, and how to staff for documentation authorship instead of audit liaison
• The real career math: VP and CAIO titles trailing Principal-IC compensation, the AAIA credential's hidden CISA/CIA/CPA prerequisite gate, and exactly where the AIGP salary premium concentrates — a $169,700 median for the "bridge profile" versus $151,800 for AI-governance credentials alone
• Bias-audit methodology run against a real fact pattern (disparate impact ratios, equalized odds, SHAP attribution, AI Fairness 360 and Fairlearn) plus NYC Local Law 144's per-day violation math and a full incident-response walkthrough, then four rehearsed senior-interview exercises — cold model-card read, live incident, NIST AI RMF translation, and classification through to a signed declaration of conformity

Written for the practitioner who already knows the AI Act's articles and Annex III's categories cold — this book is for turning that knowledge into the judgment a board, a market-surveillance authority, or a senior hiring panel will actually test.

What you get: the complete ebook as EPUB (Kindle, Kobo, Apple Books and every reader app) and as PDF, delivered the moment you pay. Book 3 of the From Experience to Evidence AI Governance Specialist series.

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