In this activity, students dig into how machine learning makes decisions. They explore how algorithms pick up patterns they were never explicitly taught and how does bias enter through human decisions and not just algorithms. Students also challenge the idea that “90% accurate” means “fair,” considering who bears the cost of the remaining 10%. The goal is to build critical thinking about data, bias, and accountability in AI systems.
Attribution: This Kit was created by: [Aman Yadav]
Usage rights: This Teaching Kit was designed to help educators and learners design, deploy, and use AI with a human-centered approach. It was created in collaboration with a network of higher education and nonprofit organizations and has been made available under the Creative Commons CC0 1.0 Universal license.
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