Worker or applicant
Ask what system is used, record the impact, and find the right escalation path.
Rights and optionsPractical AI governance education for Australian small and medium-sized businesses. Understand workplace AI risks, protect information, maintain human oversight and accountability, and explore free guides and editable templates.

Use this practical path to make AI use visible, assess what could go wrong, set proportionate controls and keep improving.
Record approved, embedded and unapproved AI tools, their purpose, users, data and accountable owner.
Use the editable AI use registerConsider privacy, security, accuracy, bias, safety, worker impact and what happens when the system fails.
Use the editable impact assessmentApprove suitable tools and uses, protect information, define human review and explain the rules to workers.
Set workplace AI rulesMonitor outputs and incidents, update records and controls, and pause or retire uses when the risk changes.
Follow the governance checklistThese steps are educational governance guidance, not certification or a guarantee of legal compliance.
Ask what system is used, record the impact, and find the right escalation path.
Rights and optionsCheck contract, privacy, monitoring and data rules; employment rights may differ.
Questions to askStart with a register, approved tools, clear data rules and proportional review.
Practical templatesUse scenarios to test consultation, evidence, review and escalation.
Workplace scenariosUnderstand chatbot disclosure, misleading claims, privacy and human escalation.
Customer chatbot scenarioTrack the legal status of current Australian AI instruments.
Policy trackerAI can improve productivity, service quality, decision-making and innovation. It can also create privacy, cyber security, bias, discrimination, poor-output, shadow AI, workforce and accountability risks if no one manages the lifecycle.
People should know where AI is being used and when it influences work or decisions that affect them.
AI should support judgement, not remove responsibility from managers, staff or leaders.
Personal, confidential and sensitive information needs clear rules before AI tools are used.
High-risk use needs approval, testing, monitoring, records and review before it becomes normal practice.

Responsible AI adoption is not a one-off approval. Workplaces need a practical lifecycle: identify the use, assess the risk, approve the controls, train people, monitor performance, report issues and review whether the system should continue.
Identify where AI is being used, consult workers, train staff, protect information and monitor risks.
Check outputs, protect data, watch for hallucinations and know when human review is needed.
Directors and executives need a clear view of AI risk, value, incidents, controls and responsibility.

Why Australia’s workplace AI gap is about accountable use, worker participation and assurance, not only technical skills, and how organisations can close it.
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How AI may improve hazard detection, prevention and safety learning in Australian workplaces, and the new physical and psychosocial risks to control.
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A practical Australian test for hidden workplace AI risk across data, decisions, safety, security, people and accountability.
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What new Privacy Act transparency requirements mean for APP entities using computer programs in significant decisions.
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How construction, electricity, grid connections, water, hardware and local infrastructure shape the real cost of AI.
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How AI is changing workplace tasks, skills, job design and the need for consultation across Australia.
Read more →Good governance starts with visibility, plain-language rules, practical training and meaningful human review for high-impact AI use.