What are staff actually worried about?
The worries are usually specific, and naming them helps. The National AI Centre notes that some people avoid admitting AI use because they think it may be seen as cheating, or worry about looking lazy or less capable. Others worry about their role changing or disappearing, about being judged on mistakes while they learn, or about putting their name to output they do not trust. Sceptics often have a different concern: that AI tools give confident wrong answers. On particular tasks they are right, and the session should treat that as useful knowledge.
- Will this change or replace my job?
- Will using it look like cheating or laziness?
- Will I be judged for mistakes while I learn?
- Can I trust what it produces?
What should managers say before the session?
Say what has been decided and what has not. If the organisation is introducing an approved tool so people can do their current jobs with less routine drafting, say that. If changes to roles are being considered, do not claim otherwise, because staff will remember. Explain why the training is happening, what the rules are, and that nobody will be marked on the exercises. The National AI Centre says a people-first approach should be fully transparent and that AI should not replace people's judgement or make them feel redundant. Where possible, the message should come from the team's own manager, who can answer follow-up questions.
Do we have to consult staff before introducing AI?
Training on its own may not trigger formal consultation. The change it supports might. The Fair Work Commission explains that an enterprise agreement must contain a term requiring the employer to consult employees about a major workplace change likely to have a significant effect on them, and the model consultation term covers a definite decision to introduce a major change to production, program, organisation, structure or technology. The National AI Centre also says meaningful consultation with workers is essential when introducing AI. Check the agreement or award that covers your staff, and get advice if roles will change.
The consultation term must also allow employees to be represented during consultation about a major change. This is administrative guidance, not legal advice; the Fair Work Ombudsman or a workplace relations adviser can help with a specific situation.
How should the session be run for a cautious group?
Design choices make the most difference. Involve staff in choosing the tasks: the National AI Centre points out that people closest to the work often know where AI can help and where it could create new risks. Start with low-risk tasks where the tool assists and a person decides, which matches the Centre's advice to choose a task where AI can assist, not decide. Keep first attempts private so nobody has to show a poor result. Run a separate session for senior leaders, since their presence changes what junior staff will admit they do not understand.
- Tasks chosen with the team.
- Exercises where the person reviews the output and makes the decision.
- No scores, rankings or individual results reported.
- A clear statement of what will not be measured.
What about sceptics who think the tools do not work?
Give them work to do. Sceptics are often careful checkers, and checking outputs against the source is a core part of using these tools safely. Ask them to test the tool on a task they know well and find where it fails. Record the failures as findings: a task where the tool is unreliable belongs on a not-worth-it list, which protects everyone who might otherwise use it there. A sceptic who sees the tool handle one tedious task acceptably, and fail on another, leaves with evidence about both.
How do you keep trust after the session?
Report back on what changed because of what staff said, including policy questions answered and tasks dropped as poor candidates. Keep a way for people to raise concerns after the day, since some concerns only form once people try the tool on live work. The National AI Centre suggests giving teams a voice in how AI is used, through practical ways for staff to shape it. If the organisation later decides on changes to roles, start that consultation separately from training, so the two are not confused.
