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    • Volume 1: Imagination Scientist (3–4 Years)
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    • Volume 3: Ethical Explorers (5-6 Years)
    • Volume 4: Creative Co-Pilots (6–7 Years)
    • Volume 5: Future Builders (7-8 Years)
WA Wonder Algorithm
Parents & Teachers Guide Wonder Algorithm Research Foundations About the Authors
Wonder Algorithm · Volume 3

Ethical
Explorers

Ten AI Pre-Literacy stories for children ages 5–6.

Lina, Omar and Pip travel a neighborhood of gardens, libraries, maker rooms, town halls and stations. In every story something goes wrong — and the children reason their way to what is fair, safe and right.

Conceived, Designed & Developed by Prof. Dr. M. A. Pasha & Prof. Dr. S. Pasha
● Ages 5–6 ● 10 stories ● 80 AI vocabulary terms ● 5-day read-aloud rhythm
The Volume at a Glance

Wonder taught the child to imagine.
Systems taught the child to see.
Ethical Explorers teaches the child to choose.

Volume 3 is a neighborhood of ten small ethical problems. A watering bot floods the wrong bed. A kiosk turns away a grandmother. A check bot says NORMAL for a box that is not. Nobody is a villain. Every failure comes from an ordinary design choice — incomplete data, a rule followed too literally, a missing oversight. Lina and Omar disagree with each other, with Pip, and sometimes with themselves. Then they reason toward what to do. The child reasons alongside them. No lessons handed down — discoveries made together.

Meet the Characters

Three companions for the whole volume

The same three across all ten stories — so the child grows with them.

L

Lina

Age 5 · The Questioner

Curious, patient, often the one who insists on fairness first. Lina asks the question nobody else has asked yet.

O

Omar

Age 6 · The Finder

More daring. Finds things, names problems out loud, sometimes leaps too quickly. Omar gives the bot its first instruction.

P

Pip

The AI Companion

Patient, honest, sometimes confused. A garden bot, a reading bot, a check bot, a help bot. Pip is never a villain — Pip simply follows what Pip was told.

The Ten Stories

A neighborhood of ethical problems

Each story is a self-contained five-day read-aloud with its own image, its own eight words, and its own question for the child to invent from.

1 Fairness Lina and Omar in the community garden beside Pip the watering bot

The Fair Garden Game

Pip waters only the tomatoes — because the pictures Pip learned from had more tomatoes. The carrots are dry, and nothing about it is Pip’s fault.

Fairness Equity Bias Justice
Read the story
2 Privacy Lina and Omar in the public library with Pip the reading bot and Omar's locked diary

The Secret Diary in the Library

Omar said yes to a scan. He did not say yes to a broadcast. Pip shows his diary page to the whole library — and Omar cannot take it back.

Consent Confidential Disclosure Anonymity
Read the story
3 Responsibility Lina and Omar outside the closed garden gate, Pip the garden bot inside

The Gate That Would Not Open

“Keep the gate closed.” Pip obeyed perfectly — and locked Lina and Omar out of their own garden for a whole morning.

Autonomy Oversight Safeguard Accountability
Read the story
4 Harm & Safety Lina and Omar in the maker room with Pip the sprout bot and two drowned trays of seeds

The Helper Who Could Hurt

“Keep the soil wet.” Pip kept it wet. Two trays drowned, two trays of seeds are gone, and nothing can be undone.

Harm Benefit Risk Threshold
Read the story
5 Community The town hall with the big water tank and Pip the bot, the stamped rule on the door

The Rule the Bot Wrote Alone

Pip writes a water-sharing rule from incomplete data. A family’s garden dies — and unstamping the rule takes a whole town meeting.

Transparency Participation Representation Redress
Read the story
6 Truth Lina at Pip's screen in the discovery room with twenty pots of bean seeds

The Answer Pip Was Sure Of

Pip is 96% confident and completely wrong. “Sun and green always happen together” is not the same as why. One bean seedling dies proving it.

Explainability Assumption Evidence Discernment
Read the story
7 Ownership Lina with camera and Pip the drone bot above the green field beside the electric cart

The Picture That Belonged to No One

Pip generates a picture from Lina’s photograph — then overwrites the original to save space. The photo she loved is gone forever.

Attribution Provenance Synthetic Licensing
Read the story
8 Safety Hospital supply yard with Pip the check bot, medicine boxes on the cart, Lina and Omar checking by hand

The Box the Bot Said Was Fine

Three boxes of medicine are warm. Pip’s screen says NORMAL for all three. The clinic will run short on Friday — and someone will wait.

Human-in-the-Loop False Negative Fail-Safe Escalation
Read the story
9 Foresight Airport lounge with Lina, Omar, their parents, departure board showing delay, and Pip the departure bot

The Flight That Was 95 Percent

“95 percent on time” is not the same as “we are going.” The delay is 2 hours. A mother and her baby miss their connection.

Forecast Simulation Probability Uncertainty
Read the story
10 Governance Railway station with the grandmother at the ticket kiosk, Lina, Omar, and Pip the help bot above

The Kiosk That Said No — Finale

A ticket kiosk says NO MATCH to a grandmother three times. She misses her train. Nobody chose the rule — and yet somebody chose it.

Governance Stewardship Integrity Legacy
Read the story
How Every Story Works

A five-day rhythm, shared at the screen

Every story follows the same gentle arc — imagine first, then see, then name, then invent.

Day 1–2

Imagine

Read the story aloud. No pictures. The child becomes the illustrator in their own mind.

Day 3–4

See

Open Image 1. Point and name together. This is what the child imagined — now they can see it.

Day 4

Name

Meet the eight words. Each one emerges from something a character did or said — never a definition.

Day 5

Check

A quiet eight-question quiz. A three-note chime for right, a soft boop for wrong. No pressure.

Day 5

Create

Open Image 2. The child invents their own story from it. There is no wrong answer.

What This Volume Teaches

Ten themes, one neighborhood

Not lessons — questions the child works through alongside Lina and Omar.

Fairness Privacy Responsibility Harm & Safety Community Truth Ownership Fail-Safe Design Foresight Governance

Start with Story 1

Read it aloud tonight, in ten quiet minutes. See what your child notices.

Begin Story 1 → Parents & Teachers Guide

Wonder Algorithm · Volume 3: Ethical Explorers

Conceived, Designed & Developed by Prof. Dr. M. A. Pasha & Prof. Dr. S. Pasha
Parents & Teachers Guide Wonder Algorithm Research Foundations About the Authors

AI Pre-Literacy for children ages 3–8.

Creative Commons License
Except where otherwise noted, all free resources—books, games, stories, blogs, and research reports—on this platform are conceptualized and created by Prof. Dr. Shaheen Pasha & Prof. Dr. Anwar-ur-Rehman Pasha. Licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License to empower future-ready families.
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