Workplace AI Governance FAQ

AI governance is the system of rules, responsibilities, processes and controls that guides how an organisation selects, uses, monitors and manages AI. It helps align AI with strategy, risk appetite, legal obligations and human accountability.

AI can affect workers, customers, data, decisions, safety and trust. Governance helps employers introduce AI with clear policies, risk controls, training, consultation and human oversight.

Common risks include cyber security threats, privacy breaches, inaccurate outputs, hallucinations, bias, discrimination, poor explainability, shadow AI, workforce disruption, vendor dependency and agentic AI acting outside intended limits.

Shadow AI is the use of AI tools for work without approval or oversight. It can expose confidential information, create inaccurate work, breach policies or introduce legal, privacy and cyber security risks.

Human oversight means people review, monitor and can intervene in AI-assisted work or decisions. It is especially important where AI affects people, safety, rights, services, employment, customers or reputation.

The organisation and its responsible leaders remain accountable for AI use. AI systems and AI agents are tools, not independent decision-makers. Accountability should be assigned clearly before deployment.

Employees should follow their organisation's AI policy. Public AI tools should not be used with confidential, personal, customer, client, legal, financial or sensitive work information unless approved safeguards are in place.

An AI policy should cover approved tools, prohibited uses, data rules, human review, accuracy checks, privacy and security requirements, employee responsibilities, incident reporting, training and review cycles.

Agentic AI refers to AI systems that can plan and complete multi-step tasks with some degree of autonomy, often using other tools or systems. Because these systems can act, they need strong permissions, monitoring and human control.

Start by identifying current AI use, creating a simple AI policy, assigning accountability, protecting sensitive data, training staff, keeping a register of approved tools and reviewing risks before using AI in important decisions.

Directors should understand where AI is used, how it supports strategy, what risks it creates, who is accountable, what controls are in place, how employees and stakeholders are affected, and whether AI is delivering value safely.

Responsible AI is the lawful, ethical, transparent and accountable use of AI. It emphasises fairness, privacy, security, reliability, human oversight, contestability and care for people affected by AI systems.

AI may automate tasks, change workflows, require new skills, support productivity or alter job roles. Employers should consult, train and support employees where AI creates significant workplace change.

AI governance should be reviewed regularly because AI tools, vendors, cyber threats, legal obligations and business uses change quickly. High-risk AI systems need ongoing monitoring after deployment.