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Governing Artificial Intelligence: Power, Control, and the Rules That Will Shape the Machine Age
Paperback
General ComputersComputer Security
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Publisher: Independently Published
Pages: 226
Weight: 0.68
Height: 0.48 Width: 6.00 Depth: 9.00
Language: English
Governing Artificial Intelligence Power, Control, and the Rules That Will Shape the Machine Age
Artificial intelligence is no longer a laboratory experiment. It is infrastructure. The systems that generate language, make decisions, call tools, and act across digital and physical environments are already shaping markets, institutions, and daily life. The critical question is no longer whether these systems will transform society. It is who will hold power over them-and whether that power will remain accountable to human institutions.
Governing Artificial Intelligence is a clear-eyed examination of power, control, and the practical requirements of keeping advanced AI systems under deliberate human authority. Written for engineers, technical leaders, policymakers, and serious practitioners, this book moves beyond slogans and ethical declarations to confront the real mechanisms through which control is gained, lost, or retained.
Inside you will find:
- A precise analysis of where power concentrates in modern AI systems-compute, data, capital, talent, and architectural design
- Why voluntary ethics and soft constraints repeatedly fail under competitive pressure
- How hard rules, liability, and standards can bind behavior-and where they fall short against adaptive systems
- The technical levers that actually matter: policy engines, capability gates, monitoring, evaluation with consequences, and authority checkpoints
- Why existing institutions are under strain and how systems can be designed to remain governable even when oversight capacity is limited
- The geopolitical realities of AI competition and what they demand of technical architecture
- Concrete design principles for preserving meaningful human agency and accountability as systems grow more autonomous
This is not a book of abstract principles. It is a working map of the control problem, grounded in the architecture of real systems and the incentives that shape their development and deployment. It shows why control surfaces must sit outside the model, why observability and attribution are non-negotiable, and why the window for deliberate design choices is still open-but not guaranteed to remain so.
If you build, deploy, regulate, or are responsible for artificial intelligence systems, this book offers the clarity required to act while meaningful choice still exists.
Bright Walker brings a rigorous, practitioner-focused perspective to one of the defining technical and institutional challenges of our time.
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