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The Hierarchy of Controls Applied to Artificial Intelligence Risks

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Workplace safety has always depended on a clear principle: the best way to protect people is to control hazards before they cause harm. For generations, safety professionals have used the hierarchy of controls to manage risks from chemicals, machinery, noise, heat, and other occupational dangers. This trusted model begins with removing the hazard, then replacing it, engineering safer systems, creating strong procedures, and finally relying on personal protective measures when other controls are not enough.

Today, that same model must be applied to a new class of workplace risk. Intelligent systems, automated platforms, robotics, surveillance tools, and data driven decision processes are reshaping how people work. They can improve efficiency and reduce some physical dangers, but they can also create new hazards involving stress, privacy, autonomy, decision pressure, fatigue, bias, and loss of human judgement. These risks may be less visible than a chemical spill or an unguarded machine, but they can still affect health, morale, safety, and trust.

This is where Artificionomics: Mitigating Human Risk of AI Technologies in the Workplace Using Industrial Hygiene Principles by Christopher Warren, PhD, offers a timely and practical roadmap. The book shows how the hierarchy of controls can be adapted for modern technology driven workplaces without abandoning the proven foundations of industrial hygiene.

At the highest level, elimination asks whether a harmful system should be used at all. If a monitoring tool damages dignity, creates fear, or removes necessary human discretion, leaders must consider removing it before harm occurs. Substitution means choosing less intrusive and more transparent tools that support workers rather than control them. For example, a workplace may replace individual surveillance with broader safety trend monitoring that protects privacy while still improving performance.

Engineering controls focus on safer design. This includes clear alerts, easy override options, better human machine interfaces, safer robot zones, and systems that reduce cognitive overload instead of increasing it. Administrative controls include policies, training, review boards, feedback channels, rest schedules, and clear rules defining when human oversight is required. Personal protective measures may include ergonomic support, mental health resources, digital wellness practices, and tools that help workers manage fatigue and stress.

Christopher Warren’s book is valuable because it does not treat technology risk as a vague future concern. It gives safety leaders, executives, industrial hygienists, and policymakers a practical way to act now. It explains that responsible innovation requires more than installing advanced systems. It requires careful assessment, worker involvement, transparent governance, and controls that protect people at every stage of implementation.

As workplaces become more automated and machine guided, safety professionals need frameworks that match the complexity of the new environment. Artificionomics provides that framework. It reminds readers that progress should never come at the cost of human health, dignity, or trust. For any organization seeking safer innovation, this book is an essential guide.

Discover the framework for protecting people in AI-driven workplaces. Read ArtificIonomics today. https://www.amazon.com/dp/B0GFY4RL6B

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