For employers

Employer Responsibilities for Workplace AI

Employers should know where AI is being used, set acceptable-use rules, consult workers, train staff and monitor risks over time.

Map AI use

Identify approved AI tools, embedded AI features and unapproved use already happening across the workplace.

Set clear rules

Explain approved tools, prohibited uses, data limits, human review requirements and incident reporting.

Consult workers

Talk with workers where AI changes tasks, monitoring, performance measures, workloads or job design.

Protect data

Do not allow sensitive, confidential or personal information into AI systems without clear approval and safeguards.

Train staff

Build practical AI awareness covering privacy, hallucinations, cyber security, bias and when not to rely on AI.

Monitor and review

Track incidents, output quality, bias, over-reliance, complaints, drift and emerging risks after rollout.

Practical controls

Create clear rules before AI becomes normal practice.

Good employer governance is about visibility and consistency. Staff should know what tools can be used, what information must not be entered, when outputs need checking and how to raise concerns.

Create AI acceptable-use rules

Connected data lines representing AI controls across a workplace.

Before introducing AI

Define the workplace problem and intended benefit.
Assess who may be affected and what data is involved.
Check privacy, cyber security, bias, safety and legal risks.
Set human approval and escalation points.
Document the owner, controls and review date.

After AI is in use

Monitor accuracy and unintended outcomes.
Review feedback from workers and affected people.
Keep records for important or high-risk AI use.
Update training as tools and risks change.
Pause, improve or retire AI that no longer meets risk settings.