AI literacy is the knowledge to use AI effectively, critically and safely. Some regulations now expect organisations to ensure it for staff working with AI.
What Everyone Should Understand
- What AI can and can't do.
- That outputs can be wrong and must be checked.
- Data protection when using AI tools.
- Approved tools and policies.
- How to recognise AI-enabled scams.
Role-Specific Depth
- Leaders: strategy, risk and governance.
- Managers: redesigning work and overseeing AI-assisted output.
- Technical staff: building, evaluating and securing AI systems.
- Specialist functions: legal, HR and procurement implications.
Effective Training
- Hands-on practice with real tasks.
- Examples of failures as well as successes.
- Short, regular updates as tools change.
- Communities of practice and champions.
Measure
Track participation, confidence and appropriate use, not just course completion.
Culture
Encourage experimentation within guardrails, and make it easy to ask questions and report problems.