AI Innovation Challenge ยท Week 4 of 4

This is it.
Exhibition Day.

Four weeks of work. One pitch. An audience. Real stakes. Let's make it count.

2
2nd Place โ€” Recognition + glory
๐Ÿ†
1
1st Place โ€” Idea gets built for real
3
3rd Place โ€” Recognition + glory
Exhibition Day ยท Run of Show

How Today Runs

SetupTeams load decks, test display, take positions10 min before start โ€” everyone ready
OpenTeacher introduction โ€” what this project was about2โ€“3 min welcome. Introduce judges.
PitchesAll teams pitch in order โ€” 5โ€“7 min each + Q&AAudience listens. Judges score. No interruptions during pitch.
BreakAudience votes while judges tally rubric scoresVoting form distributed โ€” one vote per person
ResultsScores combined, winners announced๐Ÿฅ‡ ๐Ÿฅˆ ๐Ÿฅ‰ โ€” celebrate all teams first
ClosePrize commitment + reflectionWhat you learned, what gets built
Teacher: Assign a student timekeeper. Visible countdown timer on a second screen helps keep teams on track.
How Judging Works

The Voting System

Score Breakdown
50%
Judge Panel Rubric โ€” Teachers (and any guests) score each pitch using the 7-criteria rubric. Scored independently. Averaged across judges.
50%
Audience Popular Vote โ€” Every student (from any section) gets one vote. Cast during the break after all pitches. Prevents bloc voting from teams' own sections.

Final ranking = judge score + normalised audience vote.
Ties broken by judge score.

Teacher: Use a simple Google Form for audience voting. Results come in instantly. Share a QR code on screen during the vote break.
Pre-Pitch Reminder

Last Things to
Remember

๐ŸŽฏ

Start with the problem, not your name

Your first sentence sets the tone. Make the audience feel the problem before you introduce anything else.

๐Ÿ‘€

Look at the audience, not the screen

Glancing at your slide to orient is fine. Reading off it is not.

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Know your ML type and bias argument cold

These are the most common Q&A targets. Every team member should be able to answer, not just the presenter.

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If you go over 7 minutes, the timekeeper will signal

Wrap up your current point cleanly. Don't rush through your remaining slides โ€” skip to your conclusion.

โœ…

Honest beats polished

Judges trust teams that acknowledge real limitations. Overconfidence loses points.

For Judges

Judge Instructions

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Score independently

Do not discuss scores with other judges until all teams have pitched. Your initial reaction matters โ€” don't anchor to others.

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Score the thinking, not the polish

A well-reasoned argument about bias and ethics from a plain slide beats a beautiful deck with surface-level thinking.

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Ask one question per team

After each pitch, each judge may ask one question. Target the weakest part of their argument or a gap you noticed.

โš–๏ธ

The rubric is the standard

Score against criteria, not against other teams. A team scoring 18/21 deserves that score even if another team also scored well.

Teacher: Print judge rubric sheets. Each judge scores each team independently during the pitch.
Audience

How to Vote

After all pitches, scan the QR code or go to the link on screen. You have one vote. Choose the team whose idea you think is most impactful and well-argued.

๐Ÿค”

Vote for impact

Which idea would make the biggest real-world difference if it were actually built?

๐Ÿง 

Vote for thinking

Which team showed they really understood the AI, the risks, and the limitations honestly?

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Not just your friends

Vote for the best idea โ€” not your team or your section. The result is public.

Teacher: Display QR code to your Google Form / voting tool here. Give 5 minutes for voting before tallying.
And the winners are...

๐Ÿฅ‡ 1st Place

[ Announce team name here ]

๐Ÿ—๏ธ

Your idea gets built.

Over the coming weeks, your teacher will work with the winning team to turn their AI system concept into a real, working prototype. This is the prize โ€” not a certificate, a product.

Teacher: Build excitement here. You can customise with your actual plan for what "built" means in your context.
Looking Back

What You Actually Did

In 4 weeks, you went from an idea to a full AI system design โ€” with a real understanding of the technology, the data, and the ethics behind it.

๐Ÿง 

You applied what you know

ML types, bias, neural networks, LLMs, ethics โ€” all connected to something real you designed.

โš–๏ธ

You thought critically

Not just "AI is cool" but "here's where it fails, who it harms, and what we'd do about it."

๐ŸŽค

You communicated it

Turning technical ideas into a clear, convincing pitch is a skill most adults struggle with. You did it.

Congratulations to every team that got up and pitched. ๐ŸŽ‰