FUTURE STUDIO · MISSION 04

R&D LAB

YEAR 8 · TERM 4 · WEEK 4

Future Tech

When should we use AI — and when should we not?

HUMAN OVERRIDE: A fictional team wants to add AI and automation everywhere because it feels “future-ready”. Your job is to make the system actually responsible: automate repeatable low-risk work, protect data, verify outputs and keep accountable human judgement where the consequences are high.

ENTER MISSION →

MISSION DECKFUTURE STUDIO / WEEK 04SELECT A MODULE

01BRIEFMission

02LEARNIntel

03INVESTIGATEEvidence

04ENGLISHEvidence case

05DECIDEMake the call

06DATANumbers

07PROJECTBuild

08CHECK-INReflect

★GAMEReward

ACTIVE OBJECTIVEHUMAN OVERRIDE: A fictional team wants to add AI and automation everywhere because it feels “future-ready”. Your job is to make the system actually responsible: automate repeatable low-risk work, protect data, verify outputs and keep accountable human judgement where the consequences are high.

WORLDFUTURE STUDIO

SEQUENCE01 / 08

REWARDGAME BREAK

Jump to a lesson part

READY?

Watch. Check the clues. Have a go.

Everything you need is on this page.

Start mission →

Need help getting started?

YOU NEED

Required: a device with this page open.
Optional: headphones for video or read-aloud.
Optional: pen + paper for rough working if that helps you think.

HOW TO DO IT

Read or listen to the Briefing + Learn.
Do the interactive mission.
Use facts from the reading and maths parts.
Make your choice and save your project step.
Play the weekly game. Finish Check-in.

WORK YOUR WAY

Short bursts are fine. Use Learning Tools for easier reading, read-aloud, less on screen, stronger contrast, no-rush and quieter-screen options.

If you get stuck, look at the example and try again.

PROJECT NOTE: Your project can stay digital. Physical making is optional unless you choose that format.

MISSION BRIEFING

HUMAN OVERRIDE: A fictional team wants to add AI and automation everywhere because it feels “future-ready”. Your job is to make the system actually responsible: automate repeatable low-risk work, protect data, verify outputs and keep accountable human judgement where the consequences are high.

✓Distinguish tasks suited to automation or AI assistance from tasks requiring accountable human judgement.

✓Explain data-minimisation, privacy and security considerations in a workflow.

✓Use a threshold rule and debug an IF → THEN decision path.

✓Evaluate efficiency alongside bias, error, sustainability, transparency and consequences.

MISSION MEDIA · Common Sense Education

What Is AI?

Use the explainer to separate what AI can assist with from decisions that still need accountable human judgement.

YOUTUBE ↗

Captions are controlled inside the YouTube player. If the embed is unavailable, use the YouTube link.

LEARN

PURPOSE → DATA → RISK → HUMAN CHECK → MONITOR

Use PURPOSE → DATA → RISK → TOOL → HUMAN CHECK → MONITOR. AI can assist with pattern-finding, drafting or summarising when the source data and output can be checked. High-impact decisions should not be handed to an opaque automated output without accountable human judgement. Sensitive or identifiable data should not be uploaded to an unapproved tool simply because automation is convenient. A good future-tech decision can be “do not automate this part.”

LEARNING BUILD

Learn it. See it. Try it.

Look at the example. Check another point of view. Then try the task.

Step 1: Choose a starting clue

WHAT YOU ALREADY KNOW

Reasoning lens:ASSUMPTION → EVIDENCE → CONSTRAINT → TRADE-OFF → TEST → DEFEND / REVISE

What do you already know?

English / communication:Evaluate arguments, evidence, limitations and ethical claims.

Maths / data:Logic, data patterns, thresholds and coded rules.

Topic knowledge:AI suitability, data collection/storage/encoding, algorithms, security, bias, sustainability and human accountability.

This week’s first target:Distinguish tasks suited to automation or AI assistance from tasks requiring accountable human judgement.

Which clue is a good place to start?

Choose a source that can directly support part of the investigation. More than one source may be useful, but start with evidence that does not outrun its support.

Need more help? See the teaching

TEACH 1 · CORE MODEL

TEACH 2 · WHAT TO NOTICE

Distinguish tasks suited to automation or AI assistance from tasks requiring accountable human judgement.Explain data-minimisation, privacy and security considerations in a workflow.

TEACH 3 · CONNECT + TRANSFER

Use a threshold rule and debug an IF → THEN decision path. Evaluate efficiency alongside bias, error, sustainability, transparency and consequences.

WORKED EXAMPLE · EVIDENCE

LOWER-RISK ASSISTANCE

A fictional tool summarises anonymised feedback, and a person checks the summary against the original comments before using it.

Reasoning: Start with exactly what the source establishes. Connect it to the relevant concept, then stop before the claim becomes broader than the evidence. Now compare it with AUTOMATION CLAIM: “If AI is faster, using it must be better.” Speed is one criterion and does not settle accuracy, fairness, privacy, energy use or accountability.

Why caution still matters:This item is weak evidence for a broad conclusion: its claim or implication reaches beyond what the available support can establish.

WORKED EXAMPLE · MATHS / DATA ROUTE

A human-review rule flags 25% of 80 cases. How many cases are sent for review?

This week’s maths/data focus:Logic, data patterns, thresholds and coded rules.

Define the baseline, cost, time, proportion or criterion first. Calculate on the same basis, then test the result against the user need, constraint or success criterion.

WE DO · GUIDED PRACTICE

Which source needs the most caution before it is used to support a broad conclusion?

Choose any source whose claim outruns its support.

YOU TRY · INDEPENDENT PRACTICE

For Future Tech, explain one core idea, connect it to one named source or observation and one quantitative/data point from this page, then state an alternative explanation, trade-off or limitation that a strong judgement must consider.

Write at least 30 words. Name the evidence or data you are using and keep the claim inside what it can support.

MISCONCEPTION CHECK

AUTOMATION CLAIM:“If AI is faster, using it must be better.” Speed is one criterion and does not settle accuracy, fairness, privacy, energy use or accountability.

This item is weak evidence for a broad conclusion: its claim or implication reaches beyond what the available support can establish.

HELP

Try: “The assumption is ___. Evidence ___ supports/challenges it. The main constraint/trade-off is ___. I would defend/revise ___ because ___.”

STRETCH · OPTIONAL

Build the strongest reasonable counter-argument or alternative explanation. Name one additional piece of evidence that could distinguish between the two positions.

FUTURE STUDIO · WEEK 4

FUTURE TECH · HUMAN OVERRIDE

⌁

Automate the task — not the responsibility.

Audit where AI or coded automation helps, where human judgement must stay, and where data/security risk changes the design.

AI / AUTOMATION SUITABILITY AUDIT

SUMMARISE ANONYMISED FEEDBACKHuman checks the summary against source comments.

DECIDE WHO GETS A HIGH-STAKES OPPORTUNITYThe decision affects a person and needs accountable judgement.

UPLOAD IDENTIFIABLE PRIVATE DATA TO AN UNAPPROVED TOOLThe workflow has no permission or data-protection plan.

DEBUG THE RULE

IF confidence < 0.70 OR impact = "high" THEN ______

Audit all three tasks and complete the human-review rule.

LAB IN PROGRESS

INVESTIGATE + ENGLISH · EVIDENCE CASE

Future-ready does not mean automate everything

A fictional team uses an AI tool to summarise anonymous feedback and then checks the summary against the source comments. That is different from asking the same tool to make a final high-impact decision about a person. It is also different from sending private identifiable data to an unapproved service. Responsible technology design asks what the task is, what data is required, what happens if the system is wrong and who remains accountable for the outcome.

BUILD THE EVIDENCE CASE · CLAIM → EVIDENCE → REASONING

MAKE THE CALL

Approve, redesign or reject the fictional AI workflow. Specify which tasks may use AI assistance, which decisions remain human-led, what data safeguard is required and what metric you would monitor after launch.

BUILD YOUR CASE CONCLUSION1. Make the call. 2. Use at least two relevant pieces of evidence. 3. Explain one limitation or uncertainty. 4. Finish with what can responsibly be concluded.Strong structure: My judgement is… The strongest evidence is… However, we still do not know… Therefore…

CASE CONCLUSION: Write 210–290 words as the technology lead. Classify three workflow tasks by suitability, explain one data/security risk, describe the human-review rule, include one efficiency argument for automation and one counter-argument involving consequences or sustainability.

YOUR REASONING

0/210 words minimum for this writing mission.

CLAIMEVIDENCELIMITATIONCONCLUSION

MATHS + DATA LAB

Check the numbers.

HOW TO SUCCEEDRead the situation first. Estimate what a sensible answer should look like, choose an efficient calculation, then use the feedback to check your reasoning.For data questions, explain what the number shows — and what it does not prove.

A human-review rule flags 25% of 80 cases. How many cases are sent for review?

Estimate first, then choose the answer.

MISSION 05 · MATHS + DATA LAB

DATA TRAINING

NUMBER · YEAR 8 EXTENSION

6 PROBLEMS

QUICK METHODNUMBER

Estimate first, choose an efficient operation, then check whether the answer is reasonable.

GUIDED · Q01–Q03Use the quick method, then check the explanation.

Q01

44 × 6 = ?

Q02

264 ÷ 6 = ?

Q03

50 − 6 = ?

INDEPENDENT · Q04

Which is greatest?

INDEPENDENT · Q05

Estimate 44 × 6 to the nearest ten.

INDEPENDENT · Q06

A total of 264 is shared equally among 6 groups. Each group gets…

OPTIONAL CHALLENGE · OPEN RESPONSE

Find two different calculations that produce the same answer as one question above, then justify why both are valid.

0 words · optional

PROJECT HQ · PROJECT FILE 04

TOOLS — choose and justify technology.

Start something real. Build an idea, test it, improve it, and share it. Make your move.

Start Something: choose an idea, name who it helps, make a small version, then test and improve it.

IDEA→RESEARCH→PLAN→BUILD→TEST→IMPROVE→PRESENT

WEEK 4 · TOOLS · Choose technology only where it improves the workflow without giving away human responsibility.

TECHNOLOGY CHOICE DATA + HUMAN CHECK RISK + SAFEGUARD

This saves into your Term 4 Start Something project record as you type.

Project sharing will be optional. A future upload system must keep private submission separate from public-showcase/marketing permission.

CHECK-IN

What changed in your thinking?

One thing I learned or questioned

YEAR 8 · REMIX · TERM 4 / WEEK 4

DANCE//SYNC

Protect your combo through syncopated four-lane patterns.

UPGRADED DIFFICULTYBEST SCORE SAVED

PLAY DANCE//SYNC

A remastered ICONIC GAMES favourite · phone + keyboard controls.