Control · C-104 · Skills, Capability & Culture

Workforce impact assessment and involvement

Before AI is deployed in ways that change work, its effect on roles, skills, working conditions and monitoring of staff is assessed, with the people affected and their representatives informed and heard.

Control type
Directive
Risks addressed
4
Audience
Board · Heads-of
Frameworks
Article 26 · MAP 5 · Inclusive Growth
Reviewed
2026-11-11

What it does

It makes the effect on staff a considered part of the decision to deploy. The assessment sets out which roles will change or go, what the remaining work will be like, what skills will be lost and needed, whether staff will be monitored or managed by the system, and what support is planned. Staff and their representatives are told and given a real opportunity to respond before the decision is final. The executive responsible for people is accountable; the business owner of the deployment carries it out with HR. It operates at the business case and again before go-live.

How to implement it

  • Trigger the assessment from intake for any deployment that changes roles or monitors staff.
  • Describe the effect on headcount, tasks, autonomy, pace and skills.
  • Identify expertise that must be retained, and how it will be kept in practice.
  • Assess any monitoring or management by the system for necessity and proportionality.
  • Inform and involve staff and their representatives early, and record what changed as a result.
  • Plan retraining, redeployment and support, with a budget.

Evidence it operates

Design: an assessment template and trigger. Operation: completed assessments attached to business cases; records of staff involvement and responses; transition and retraining plans with funding; follow-up review after deployment.

Where it fits

At the business case, alongside the wider AI impact assessment process. It is the primary control for workforce displacement and job quality and, with the data protection impact assessment for AI, for intrusive AI monitoring of workers. It supports deskilling and loss of expertise and unfair algorithmic management.

Limits

An assessment informs a decision and does not determine it. Involvement after the decision is taken is a formality. Effects on work are hard to predict and often appear only in use. Where the purpose of the deployment is to reduce cost, the assessment and the business case pull in different directions.

Risks this mitigates

Primary mappings

Intrusive AI monitoring of workers High
Involves staff in decisions on monitoring that affects them. AI is used to monitor staff activity, communications or behaviour in ways that are disproportionate, opaque or beyond what the stated purpose needs.
Workforce displacement and job quality Medium
Assesses the effect on roles and conditions, with staff involvement. AI deployment removes roles or makes the remaining work worse, without assessment, involvement of the people affected or a plan for transition.

Supporting mappings

Deskilling and loss of expertise Medium
Assesses skill erosion before deployment. Reliance on AI erodes the human expertise needed to check its output, to cover for it when it fails and to train the next generation.
Unfair algorithmic management High
Involves staff before such systems are introduced. AI is used in recruitment, task allocation, performance assessment or dismissal without fairness testing, explanation, human review or a route to challenge.

Framework and clause references

FrameworkClauseTitle
EU AI ActArticle 26Obligations of deployers of high-risk AI systems Informing workers.
NIST AI Risk Management Framework (AI RMF 1.0)MAP 5Impacts on individuals, groups and society are characterised Impacts on groups.
OECD AI PrinciplesInclusive GrowthInclusive growth, sustainable development and well-being Inclusive growth.

Related terms

How to cite

Axiom Verity (2026). Workforce impact assessment and involvement. Reference Library, C-104. https://axiom-verity.com/controls/workforce-impact-assessment. Reviewed 2026-11-11.