AI, Privacy and Worker Data: What Workplaces Need to Consider

Why this matters in practice

Worker data can be sensitive even when it looks ordinary. AI tools may process prompts, attachments, recordings, logs or inferred information in ways that are difficult to see after the fact.

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 manager might ask an AI tool to summarise notes about a performance issue. Even if the final summary is accurate, the prompt may contain personal information that should not have been entered into that system.

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

• Assuming a prompt is not a record.
• Using public tools for sensitive worker information.
• Forgetting that generated output can also be personal information.
• Not explaining AI use where privacy notices should be updated.

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.

• Classify worker data before AI use.
• Set clear prohibited data categories.
• Use approved tools and privacy settings.
• Consider privacy impact assessments for higher-risk uses.
• Keep human review in place when outputs concern people.

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 employee awareness, legal awareness, AI risk guidance.