Using AI assistants at work responsibly
Practical habits for anyone using chat assistants, writing aids, meeting note-takers or AI features built into everyday apps: use approved tools, keep confidential and personal data out of tools that aren't approved for it, check output before relying on it, stay accountable for what you send, and recognize prompt injection and over-trusting AI that can take actions.
- Level
- Beginner
- Length
- About 40 minutes
- Contents
- 3 lessons · 1 video · final exam
- Status
- Published · updated 1 Oct 2026
Skills you'll practise
- Choose an approved AI tool for a task and recognize data that must not go into unapproved tools
- Check AI output for invented facts, sources, figures and code before using it
- Explain why you remain accountable for AI-assisted work and when to disclose AI use per policy
- Recognize prompt injection in content an AI tool reads, and limit what AI agents can do
- Handle AI meeting note-takers and recordings with consent and confidentiality in mind
Course outline
- 1.Using AI assistants responsiblyVideo · 3 min
- 2.What goes in: approved tools and dataLesson · 14 min
- 3.What comes out: checking and owning the resultLesson · 13 min
- 4.Prompt injection, agents and meeting assistantsLesson · 13 min
- 5.Using AI assistants at work responsibly: knowledge checkKnowledge check · 17 questions
- 6.Final exam8 questions · passing it completes the course, so people who already know the material can test out
Sources it draws on
The lessons and questions are written from these references, so learners can go back to the original.
- NCSC (UK) blog: ChatGPT and large language models: what's the risk?
- NIST AI Risk Management Framework (AI RMF 1.0) and Generative AI Profile (NIST AI 600-1)
- OWASP Top 10 for LLM Applications 2025 (LLM01 Prompt Injection, LLM02 Sensitive Information Disclosure, LLM06 Excessive Agency, LLM09 Misinformation)
- NCSC (UK): Home working guidance page (online meeting security: lobbies, recordings, AI attendees)
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