GOVERNING The FLUENT MACHINE: Multi-Level Oversight Framework for AI in Universities and Health Professions Schools

Governing the Fluent Machine addresses a growing problem in universities and health professions education: artificial intelligence can generate fluent, persuasive and apparently authoritative content, but fluency is not evidence of accuracy, accountability or fitness for purpose.The book introduces the Multi-Level Oversight Framework (MLOF), a practical governance architecture that distributes responsibility across AI users, developers and vendors, institutions, professional and regulatory systems, and the wider public domain.Moving beyond broad ethical principles, MLOF asks practical questions: Who is responsible? What must they verify? What evidence of oversight should exist? What happens when AI-generated content cannot be verified?Written for educators, clinicians, academic leaders, researchers, policymakers and institutional decision-makers, this book provides a pragmatic approach to governing generative AI while preserving human judgement, professional accountability and institutional responsibility.Its central proposition is simple: AI may contribute to the work, but accountability remains human.