The Power of Automation, Artificial Intelligence, Machine Learning, Algorithms and Language Machine: Power, Integrity and the Digital State: Twelve Chapters with Real Case Studies

Every generation of institutions meets a technology that promises to make government cleaner and finance safer. Each time, the outcome has depended less on the machine than on the people and rules around it. This book is written for the professors, regulators, auditors, investigators, prosecutors, journalists and students who will decide whether automation, artificial intelligence, machine learning, algorithms and language technologies strengthen integrity or hide its absence. My starting point is simple. Power, money and greed have always shaped how public resources are used, and the poor have always paid the price when those forces go unchecked. Digital tools can reduce the opportunities for abuse and increase the chances of exposure; they can also give abuse a smooth surface and an aura of objectivity. The twelve case studies in this book, drawn from Europe, Asia, Australia, Latin America and Africa, show both possibilities in real institutions with real consequences. The book is designed to be used. Each chapter contains learning objectives, four short topic sections, a comparison table, a fully developed case study with analysis and lessons, a summary, review questions and sources. It aligns with the certificate, diploma, bachelor's, master's and doctoral programmes proposed in the companion curriculum framework, and can be read straight through or used chapter by chapter in teaching and professional development. Somalia and the wider Horn of Africa are building digital finance and public institutions in real time. I hope this book helps ensure that what they build is transparent, accountable and fair to the poorest people it must serve. Prof. Paul Allieu Kamara Mogadishu, September 2026