Every organisation where staff use AI
AI literacy: what the law now requires · Shadow AI: recognising and managing the risk · Using AI safely: data, confidentiality, and what never goes in a prompt ...
Learning objectives
- Explain what "AI literacy" means as a legal and practical concept, and why it now applies to almost every role.
- Recognise the basic obligations organisations face around AI use, whether under the EU AI Act or UK law, and what this means for how you use AI day to day.
Industry: Cross-industry
Learning objectives
- Explain what "shadow AI" is, and why it's become so common even in organisations with no formal AI policy.
- Recognise the specific risks shadow AI creates, and apply better habits without needing to stop finding AI genuinely useful.
Industry: Cross-industry
Learning objectives
- Recognise the specific categories of information that shouldn't go into an AI prompt, and why.
- Apply a practical, memorable set of rules for using AI tools safely with everyday work information.
Industry: Cross-industry
Learning objectives
- Explain how AI tools used in recruitment or people decisions can produce discriminatory outcomes, even without any discriminatory intent.
- Apply appropriate scrutiny and safeguards when using AI in hiring, performance, or promotion decisions.
Industry: Cross-industry
Learning objectives
- Explain what genuine human oversight of an AI-assisted decision actually requires, as distinct from a token human sign-off.
- Recognise the specific failure pattern of "rubber-stamping" AI recommendations, and apply a more meaningful review process.
Industry: Cross-industry
Learning objectives
- Explain why most organisational AI policies fail to be followed, and what genuinely effective policies do differently.
- Apply a practical structure for building an AI acceptable use policy that reflects how people actually use AI, rather than how the organisation wishes they would.
Industry: Cross-industry
Learning objectives
- Explain the transparency obligations that apply when AI is used to interact with or make decisions about people, including the 2 August 2026 EU AI Act requirements.
- Apply practical transparency practices across common workplace situations involving AI.
Industry: Cross-industry
Learning objectives
- Explain why AI governance requires genuine, resourced ownership rather than informal, distributed responsibility.
- Apply a practical readiness assessment ahead of the 2 August 2026 enforcement milestones, and build an ongoing governance structure to keep pace with a fast-moving area.
Industry: Cross-industry

