AI Is Already Here!

BBC Ideas + guided discussion: what AI is actually doing when it gives confident answers.

Assembly (20 min) Smart Presentation
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Use the BBC Ideas video How AI actually works with this guided discussion to help students understand what AI does in practice: pattern prediction, not human-style thinking.

Preparation

  • Open the BBC Ideas video and check audio in the room.
  • Open up the presentation review slides
  • Optional: run one live AI prompt demo and one fact-check example.

Learning objectives

  • Understand that AI predicts patterns rather than 'thinking'.
  • Recognise the difference between pattern prediction and understanding.
  • Learn why AI hallucinations occur and why verification is essential.

Instructions

  1. Hook: ask students whether they have used AI today and whether AI 'understands' what it writes. 2 min
  2. Play BBC Ideas: How AI actually works. 5 min
  3. Discuss: AI as pattern prediction (advanced autocomplete) vs genuine understanding. 4 min
  4. Explain hallucinations: plausible wording can still be wrong; always verify important facts. 2 min
  5. Present the five Being AI-Smart takeaways and invite student responses. 3 min
  6. Signpost reporting and support resources; close with exit check. 2 min
  7. Exit check: one safe use of AI and one use that must be fact-checked. 2 min

Key definitions

Pattern prediction
Choosing likely next words from learned data patterns.
Understanding
Human-style reasoning about meaning, context, and truth.
Hallucination
A fluent but incorrect AI output produced from weak or ambiguous pattern matches.
Verification
Checking outputs against reliable sources before trusting or sharing.

Differentiation

Support

Use sentence stems: 'AI predicts...', 'AI does not know...', 'I would verify by...'.

Stretch

Ask students to create one prompt likely to cause hallucination and redesign it to reduce risk.

SEND

Allow paired response cards instead of whole-class verbal answers.

Extension activities

  • Compare two AI answers to the same question and identify which one is better supported by evidence. Next lesson
  • Create a class checklist for responsible everyday AI use. Cross-curricular
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