MHS Guide for Controlling AI & Machines

AI no longer only gives advice. It acts.

AI agents send emails, change code and approve refunds. Algorithms decide which job applications a recruiter sees first. Robots move goods next to people, and machines adjust their own settings from sensor data. In many organisations these systems already act faster and more often than any person can check. So who is really in control?

MHS Guide for Controlling AI & Machines gives a clear, practical answer: Machine-Human Supervision (MHS), a structured method to keep people in charge of AI systems and machines without losing their benefits.

You will learn how to:

• Apply the five MHS pillars: boundaries, visibility, intervention, accountability and learning
• Choose the right level of human control for each system with a six-level autonomy scale and a simple risk score
• Build an inventory of your AI systems and automated machines, and give each one an owner
• Write policies, assign roles and design approval gates that people actually use
• Understand the EU AI Act, the EU Machinery Regulation, ISO/IEC 42001 and the NIST AI RMF in plain language
• Specify guardrails, permissions, monitoring and stop functions for AI agents
• Understand the basics of safety for robots, cobots, autonomous vehicles and industrial AI
• Help every employee supervise the AI tools they use, and launch an MHS programme in 90 days

With 22 chapters, practical examples, exercises and 11 practical appendices (checklists, policy templates, a risk register, an incident response playbook, sector guides, a self-assessment and a supplier questionnaire), this book is written for managers, team leaders and professionals in operations, IT, risk, compliance, safety, quality and HR. No technical background is needed.

Control is not about fear. It is about confidence. Scroll up and learn how to see, limit and stop what your AI and machines do.

Book 1 of the Machine-Human Supervision series. Continue with MHS in Practice, 60 real-world cases that put the method to work.