Human Authority-Centred Work Design (HACWD)

Human Authority-Centered Work Design 

The framework that makes human authority a designable property of intelligent systems, not an assumption. 

HACWD was developed through research into how humans actually work alongside intelligent, autonomous systems in high-consequence environments. Not how they are supposed to work. How they do.

In mining, energy, and defence, AI and automation are deployed at scale. But work; the design of roles, decisions, authority, and accountability, is rarely redesigned to match. The result is a class of latent risk that technical audits do not find: humans who are accountable for decisions they cannot see, operating systems they cannot always override, in organisations that have no structured way to measure any of it.

HACWD addresses that gap. It provides the framework for designing work, decision authority, governance, and capability in organisations where intelligent systems are part of how work gets done.

The methodology operates across four dimensions:

 Decision authority and governance (DC) — who owns decisions, how automated outputs are treated, whether override pathways are documented and tested, and whether accountability is clear when systems fail.

Human factors and cognitive sustainability (CS) — the workload, skill currency, and role design conditions that determine whether operators can exercise effective judgment over time — not just nominally, but in practice.

Psychosocial safety and work experience (PS) — the agency, organisational safety climate, eudaimonic work quality, and monitoring conditions that determine whether people can genuinely act on their authority without fear or suppression.

Work design and technology integration (WD) — whether tasks, roles, interfaces, and competency architecture have been deliberately designed to preserve human authority, or whether automation was layered over unchanged work.

• Decisions are shifting without visibility 
• Humans are accountable without authority 
• Cognitive load is increasing in operational roles 
• AI is introduced without governance frameworks 
• Psychosocial, Sociotechnical and operational risks are rising

This is not a technology problem. It is a work design and authority problem.