Overview

AI is already managing people. It decides who gets scheduled and who gets sent home early. It decides whose pace is ""too slow."" It decides who gets flagged as a problem. It decides who's ""replaceable."" In warehouses, hospitals, classrooms, delivery networks, call centers, city services - algorithms have quietly become a layer of management. They monitor, rank, escalate, and discipline. They optimize for ""efficiency,"" even if that means pushing bodies past safe limits, cutting hours without warning, or forcing workers to accept tracking and surveillance as a condition of staying employed. And right now, almost no one being managed by these systems has the right to say no. This book is how that changes. Workforce Sovereignty argues that the most important fight of the AI era is not ""Will robots take jobs?"" It's ""Who has the authority to govern the machine?"" Dr. Justin Goldston introduces Workforce Sovereignty - a doctrine that says workers, and the communities they keep alive, must hold enforceable power over AI systems that shape their pay, safety, schedule, and dignity. Not feedback. Not ""participation."" Power. Inside, you'll get a playbook built to be used in the real world, not just talked about: Human-Agent Coevolution AI doesn't just assist anymore - it recommends, routes, assigns, and pressures. This model keeps final decision authority with humans in high-stakes work (nursing, logistics, public services), and treats refusal of an unsafe or unethical AI directive as a protected act, not ""insubordination."" Micro-College Labor Nodes Corporate ""reskilling"" programs train workers to comply with someone else's system. Micro-colleges flip that. They're community-run training and governance hubs that define acceptable AI working conditions, grant credentials locally, and keep the IP local - instead of letting outside vendors extract it. SentinelX Governance Layer Most corporate ""Responsible AI"" is voluntary and cosmetic. SentinelX is not. It's continuous oversight: logging what AI is doing to workers, documenting when AI crosses safety or dignity lines, and enforcing a human veto that cannot trigger retaliation. You'll learn how to: Force any AI tool that touches labor to be transparent, overrideable, and accountable. Bake sovereignty into procurement, contracts, staffing policy, and local ordinance. Run a 12-week Sovereignty Sprint inside one unit of a hospital, warehouse, school district, or city department - and come out with enforceable policy and political leverage. Track sovereignty with measurable indicators like: Can a human actually stop the AI in practice? How many unsafe decisions were intercepted before harm? Who captured the ""efficiency gains"" - the vendor, or the community? This is not an ethics book. This is not an HR book. This is an operations manual for anyone who refuses to let ""the algorithm decided"" be the end of the conversation. For labor organizers, superintendents, chief nursing officers, municipal leads, warehouse and logistics operators, board members, and policy staff: Workforce Sovereignty is a way out of algorithmic control and into negotiated power. If AI is going to govern work, then workers - and their communities - will govern AI.

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