Invisible Inputs: Analyzing Bias in AI Healthcare Tools
Students investigate how biased proxy data led a healthcare algorithm to underestimate the needs of certain patient groups. They analyze the case, debate fairness, and use Color Codes to model how design choices affect equity in AI.
Elective Algorithm Design
Students compare their own class scheduling decisions to those made by AI to identify possible bias in the AI algorithm. Then, they design ethical decision trees and use Ozobot Color Codes to model fair and equitable outcomes.
Ethics Lab: AI on Trial
Step into the role of an AI Ethicist! Students will investigate how AI can make biased decisions, propose improvements, and use Color Codes to demonstrate their evaluation of AI decisions with Ozobot.
My Digital Footprint
Students will identify how the choices they make when online affect their online reputation and will recognize the long-term consequences of those choices.
Ring Around the Octopus – Animal Adaptations using Ozobot
Students will learn about the various ways octopuses have adapted to survive in their ocean habitat.
Let’s learn about our class with Ozobots!
In this lesson, students will learn about each other, including their connections to other parts of the world.