6-8:07:”Fix the Bias” Game and Presentations on Ethics and Data Quality
Course Prerequisite(s)
- Please note that this course has the following prerequisites which must be completed before it can be accessed
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6-8:06:Hands-on Model Training Simulation and Troubleshooting
About Course
A group game about a serious problem. Teams receive a biased dataset, find where the unfairness crept in, fix it, and present their case to the class.
Bias stops being abstract when your own team has to find it in a real dataset and fix it under time pressure. The presentation step teaches students to explain a technical problem to a non-technical audience.
What students do
• Let’s Get Real: how model bias affects individuals and groups
• “Fix the Bias” – a group game of bias scenarios: find where the unfairness came from and fix it
• Present Your Case: short presentations on data quality and ethics, with true/false
• Reflection Time: “How can bias in AI affect people’s lives?”
By the end, students can
• Where bias comes from
• Data quality as an ethical issue, not just a technical one
• Presentation and teamwork skills
Learning focus (Fink’s Taxonomy of Significant Learning): Human Dimension · Caring · Application.
Group activity; best with 3–5 students per team. Part of Grades 6–8: AI Agents in Action, Module 2 – How Machines Learn – Patterns, Data & Bias, Week 3. Next lesson: Ethical Implications and Final Assessment.
Course Content
Part 1: Let’s Get Real
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Video
01:26
