AI Use Registers: A Practical First Step for Workplace Governance

Why this matters in practice

A register turns scattered AI activity into something visible. Without a register, leaders may not know which tools are being used, what data is entered or who is relying on AI output.

In Australia, workplace AI should be considered in the context of privacy, cyber security, work health and safety, workplace relations, discrimination risk and ordinary management accountability. The right control depends on what the AI is used for, who uses it, what data it touches, how many people may be affected and whether the output can be properly checked.

A practical workplace example

A small business may discover that staff are using AI for marketing copy, customer emails and spreadsheet analysis. A register helps separate low-risk drafting from uses that need approval, privacy review or human checks.

The important point is that governance should follow the actual workflow. A tool that looks low risk in isolation can become higher risk when it changes a decision, influences a worker, handles personal information or produces a record that others rely on.

Common mistakes to avoid

• Making the register too complex to maintain.
• Only recording approved tools.
• Failing to assign owners.
• Not updating the register when use changes.

Governance considerations

Good governance does not need to be complicated, but it should be deliberate. A workplace should be able to explain why AI is being used, what controls apply, who is accountable and how concerns are reviewed.

• Record the tool, purpose and owner.
• Note data types and affected people.
• Classify risk level.
• List controls and review dates.
• Make updates part of normal business change.

Human oversight and accountability

Human review should be meaningful. The reviewer needs enough information, authority and time to question the output, seek evidence, override the result or escalate the matter. AI should support human judgement, not remove responsibility from people.

Privacy, records and review

Before AI is used with workplace information, organisations should consider whether personal, confidential or sensitive data is involved. They should also decide what records are kept, how outputs are checked and when the use should be reviewed or retired.

For related guidance, see AI governance checklist, AI governance framework, AI policy and shadow AI.