AI basics
What AI can and cannot do, including generative AI and agentic AI.
AI literacy and training
AI Literacy for Responsible Workplace Use
AI literacy helps employees and leaders use AI safely, understand its limits and build a responsible AI culture.
Awareness before access
Training should be practical, role-based and repeated.
People need to know what AI can help with, what it should not be used for, how hallucinations happen, what data must be protected and when human review is required.
Training topics
What staff and leaders should understand.
Safe prompting
How to avoid entering confidential, personal or sensitive information.
Hallucinations
Why AI can produce persuasive but false or incomplete outputs.
Bias and fairness
How unfair outcomes can arise and what to check before use.
Cyber security
Prompt attacks, phishing, deepfakes and risky files or links.
Human review
When output needs verification, approval, escalation or rejection.
Records
When AI use should be documented for important work.
Incidents
How to report errors, privacy concerns, misuse or harmful outputs.
Role impact
How AI may change tasks, skills, workload and accountability.
Culture
Responsible AI culture is a control.
A workplace that encourages questions, reporting and human judgement is less likely to normalise risky AI use.