Conceived, directed and published by Gunnar Nordqvist. The text was written by AI agents under his briefs and was reviewed and approved by him. He is not the author of the book in the ordinary sense of the word.
In plain words, the work was divided as follows. Gunnar Nordqvist's part: the subject, the table of contents, the brief for every chapter, the author persona and the style rules, the review of every change, the approval of what is published, and the responsibility for the result. The agents' part: drafting the prose against those briefs, locating and checking sources, applying the style guide, challenging arguments, producing diagrams, running the checks and formatting the editions. Where the book says "the author", it means Gunnar Nordqvist in that role: the person who conceived and directed the book and answers for it, not the writer of its sentences.
This book, like the other volumes of The Transformed Architecture, Architecture as Code, AI Governance, AI Platform and Security, AI Red Team, AI Threat and The Transformed Security Architect, draws on decades of practice at the intersection of enterprise architecture, infrastructure engineering, information security, and organisational change. It is conceived and directed from the perspective of a practitioner who has watched architecture move from documents to code and who has applied the same discipline to artificial intelligence and, in this book, to the management of people when AI takes part in it, in large European organisations.
Primary topics explored
- Who made this book
- Gunnar Nordqvist
- About Kvadrat
- Swedish terminology reference
- How this book was made
- The book's technical foundation
About AI Boss
AI Boss is Book 7 of The Transformed Architecture. It examines what happens when artificial intelligence takes the manager's chair: algorithmic management of direction, evaluation, consequence, development and care, the effects on people, the management of AI agents, Europe's legal answer, and how to design an accountable AI boss, for European enterprises and public authorities.
It builds on the conclusions of Architecture as Code, AI Governance, AI Platform and Security, AI Red Team, AI Threat and The Transformed Security Architect.
Executives, line managers, HR and people leaders, works councils and trade unions, public employers, architects and AI governance leads, data protection and legal officers, procurement and programme leaders, and risk, compliance and audit.
Continue with the full chapter
About the Author: About the Author in AI Boss gives the detailed explanations, practical examples and implementation patterns behind this summary.
This whitepaper belongs to “Appendices” and is one of 37 drawn from the manuscript.