A / HUMAN FACTORS
Cognitive load
Does the system add information, decisions, prompts or alerts faster than people can reliably process them?
ATTENTION DEMAND↑
WORKPLACE AI IMPACT ASSESSMENT
AI changes
work. Assess
the impact.
42005.ai connects AI governance with human factors, work design, occupational hygiene, safety and the realities of how people actually perform work.
Independent professional initiative · Not affiliated with or endorsed by ISO or IEC
AI SYSTEM
LIVE
01Work intensityRISING
02Human oversightCHECK
03Alert burdenHIGH
04Decision relianceREVIEW
TECHNICAL STATUS
Operational
WORKPLACE STATUS
Unknown
ALGORITHM ≠ NEUTRAL•TECHNICAL ≠ SAFE•HUMAN-IN-THE-LOOP ≠ HUMAN-IN-CONTROL•DEPLOYMENT ≠ IMPACT ASSESSMENT
01 / WHY THIS MATTERS
A system can be technically correct and still create unsafe work.
Automated scheduling, computer vision, algorithmic management and generative AI can change pace, attention, autonomy, workload and decision-making.
That means AI implementation is not only a technology question. It is also a work design and human performance question.
02 / THE WORKPLACE LENS
Look beyond whether
the code works.
Assess what changes when an AI system enters real work: who is affected, what demands shift, what can fail, and whether people retain meaningful control.
B / RELIANCE
Automation bias
Will workers trust the recommendation because it came from the system?
C / WORK DESIGN
Work intensification
Optimisation can increase pace, pressure and fatigue even when productivity improves.
PACINGFATIGUEPRESSURE
D / INTERFACE
Alert fatigue
More alerts do not necessarily mean better awareness.
E / HUMAN OVERSIGHT
Human-in-the-loop is not enough.
People need time, information, competence and genuine authority to challenge, pause or override a system.
F / CAPABILITY
Deskilling & judgement
Repeated reliance can change skill retention, situational awareness and professional judgement.
03 / HUMAN FACTORS BY DESIGN
Design the work system.
Not just the AI.
AI changes the relationship between people, information, tasks, teams and technology. A meaningful impact assessment therefore needs a human-centred design lens from the start.
Cognitive ergonomics
Mental workload, attention, decision-making, interruption, fatigue and information presentation.
Human–AI interaction
Trust, reliance, explainability, feedback, error recovery and the quality of human oversight.
Work design
How AI changes job content, pace, autonomy, staffing, coordination, recovery and performance expectations.
Participatory design
Workers are not merely end users. Their experience is evidence for identifying foreseeable impacts and designing controls.
Physical + digital interaction
Digital decisions can change exposure to physical, ergonomic, chemical and environmental hazards in the real workplace.
Explore the human factors framework
A deeper guide to applying ergonomics and human factors thinking to AI-enabled work.
Open the HFE guide ↗42005
REFERENCE POINT
ISO/IEC 42005:2025
42005.ai explores how AI system impact assessment can be translated into practical workplace questions for safety, health and human factors professionals.
View the ISO standard information ↗04 / A PRACTICAL METHOD
Start with the work.
Not the algorithm.
A workplace impact assessment should follow the change from system to task to people to consequences — then return to controls and monitoring.
Purpose, capability, limits and foreseeable use.
Tasks, pace, staffing, workflow and environment.
Attention, skill, trust, wellbeing and authority.
Benefits, harms, uncertainty and affected groups.
Design, verification, escalation and safeguards.
Feedback, near misses, overrides and change triggers.
POTENTIAL+RISK+IMPACT
05 / PROFESSIONAL WORKSPACE
Move from a questionnaire to an assessment system.
Register AI systems, document workplace impacts, record evidence, assign controls, compare worker experience with management assumptions, and generate a decision-ready assessment report.
AI system register21 impact questionsEvidence trailControl registerWorker voiceProfessional report
Open 42005.ai Workspace ↗
Browser-based V4 · Local persistence · Export / import workspace data
06 / FREE PRELIMINARY TOOL
Workplace AI
Impact Screening
18 questions. About five minutes. Designed to surface workplace impact signals that deserve deeper review.
Your answers stay in this browser unless you export them.
00
DEFINE THE USE CASE
What AI system are we assessing?
Describe the system in the context of the work it changes.
06 / PRACTITIONER-LED
Building the practice of
AI impact assessment at work.
Zephan Chan is a workplace health, ergonomics and occupational hygiene practitioner whose work increasingly focuses on the human and operational impact of AI. Through 42005.ai, he is developing practical approaches that connect AI governance with human factors, worker wellbeing and real work systems.
The aim is to help lead a more practical conversation: not only “Does the AI work?”, but “What does the AI do to work, people and risk?”
07 / BUILD THE PRACTICE
AI governance should not live in a software silo.
Zephan is bringing together professionals from workplace safety, occupational hygiene, human factors, design, technology and AI governance to explore how AI impact assessment should work in real workplaces.