Aim

To explore how AI bias can affect fairness and understand ways to fix it.

Materials

• Newspaper clippings or online articles (teacher-provided or student-researched)

• Chart paper or sketchbook

• Markers or pens

• Optional: Projector or printed images

Step-by-Step Activity Plan

Step 1: Understand Bias (5 min)

Start with a discussion:
“What does the word bias mean?”
Encourage students to share everyday examples — like preferring one friend over another unfairly.

Teacher explains:

Bias in humans is a preference; bias in AI is a reflection of human data.

Step 2: Find Real Examples (10–15 min)

Provide examples (or let students search):

• Facial recognition errors on certain faces.

• AI systems that misidentify animals or objects.

• Job recommendation tools that favor one gender or region.

Groups choose one example to explore.

Step 3: Analyze the Problem (10 min)

Each group discusses:

1. What was the AI system supposed to do?

2. What went wrong?

3. What kind of bias caused it — unbalanced data, design bias, or human error?

4. How could this problem be fixed?

Step 4: Make a Poster – “How to Keep AI Fair” (15 min)

On chart paper, groups summarize their findings:

• Title: Our Case of AI Bias

• What happened

• What could be improved

• A short slogan (e.g., “Diverse Data = Fair AI”)

Step 5: Class Sharing (10 min)

Each group presents their poster to the class.
Discuss common ideas — fairness, diverse data, responsible AI design.