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Making Bias Explorable

A citizen science programme
Noticing & Recording AI bias together

DeBiasMe is a not-for-profit education initiative grounded in AI and education research,
reviewed and
presented at international conferences

Did you know?

What is AI bias?

When using AI, things can go wrong in our own thinking and in the system's answers.

Flaws in our own thinking, the AI's errors, and unfair ideas in society shape each other, and can make each other worse.

Reducing AI bias: de-bias

DeBiasMe
It starts with what I notice

DeBiasMe is a citizen science programme where learners and educators find and record the AI bias together.

01

NOTICE

Use the DeBiasMe kit yourself to discover the range of technical and ethical problems that can come up with AI.

02

ANALYSE

Talk through where it came from: you, your school, or the world around you and what could change it.

03

RECORD

Add what you found to the DeBiasMe platform, and keep noticing, analysing and reducing bias alongside others.

DeBiasMe citizen science programme

Who can take part?

We work with schools, learning centres and community groups

asking how to use AI responsibly.

Primary and secondary students take part in educational workshop. 

We'll send you everything you need to run it in your

own classroom, centre or programme.

A way to start the conversation about AI bias inside a team or a group.

DeBiasMe works towards a future where every learning community gets a good education, is not discriminated against, and can reach the information it needs.

That work sits alongside UN Sustainable Development Goals 4 (Quality Education) and 16 (Peace, Justice and Strong Institutions).

What people said

From students, teachers and volunteers who took part

Before this class I thought whatever AI said was right. Now I know it gets things wrong a lot. I'm glad I found out.

Student

Grade 4, Wirye Haesol Primary School

A real chance to see what AI bias looks like, concretely.

Teacher

Daegu Siji Primary School

I'd been worried about bias in the media, but I learned AI isn't neutral either. Children shouldn't take what it produces at face value: schools need to teach them to notice bias and think it through.


Teacher

Jinhae Sinhang Primary School

AI is going to be something everyone uses, every day. Education like this matters now. I volunteered because I wanted to have a hand in students getting something genuinely useful at school.


Workshop Volunteer

Seoul National University

FAQ

Frequently asked questions

Can I take part if I don't know much about AI?

Yes. No prior knowledge or experience with AI is needed. You can follow along with the workshop and join in the recording as we go.

It's a good chance to learn about AI, too!

Can I take part online?

At the moment we run in-person workshops only. 

If your group would like to take part online, send us a note through [Get involved] on this site. 

If you're joining on your own, look out for online sessions! we'll announce dates as they open.

What happens to what we record together?

The experiences and observations you record stay open to you to look back on. They're also shared with other participants and researchers, as material for working out how to reduce AI bias.

Records contain no personal information that could identify anyone. If a record would include an institution name or year group, we'll let you know beforehand.

We'd like to run a DeBiasMe workshop at our school or organisation

Sessions run 1–2 hours, and we support them free of charge.

Send us a note through the form below and we'll come back to you within two or three working days.

[ Enquire ]

For collaboration of any other kind, email info@debiasme.com.

Where do I ask about research collaboration, partnerships or support?

Email us at info@debiasme.com!

Our partners

DeBiasMe works with partners across education and social impact.

DeBiasMe | Making Bias Explorable
Nonprofit Edtech Startup

Registered in the Republic of Korea (registered number: 511-82-82911)

Seoul-London Parallel initiative
Email info@debiasme.com

Copyright © 2026 DeBiasMe. All rights reserved.