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.
Think Like a Model: Large Language Model
Students will run a program to simulate training an LLM and make a prediction about the next color. Students will write the beginning of a short story, then exchange with a partner who will finish the story and design a pathway for Ozobot to follow.
Prediction Pro
Students explore how LLMs learn by predicting Ozobot’s next action. Then, programming Ozobots to follow patterns and act out story paths, connecting repetition and prediction to the way language models are trained.
Patterns Not Memory: How LLMs Work
Students use skip counting as a way to identify patterns and make predictions. Then, they program Ozobot to complete a pattern to understand how LLMs work.
Making Decisions with Computer Vision
See Ozobot think on its wheels with computer vision! Connect a camera, ask the LLM your question, and watch as your bot zips off in the correct direction.
Digital Zoologists: Researching with the LLM
Become a digital zoologist by using the LLM block to research animals and create a field report! Test what the LLM can accurately answer by asking a variety of questions with different output types to program Ozobot’s behavior based on the responses.
Autonomous Driving Intelligence
Team up to simulate how autonomous vehicles detect and react to pedestrians using computer vision and AI! Students will program Ozobot to analyze the road ahead and make decisions about when it’s safe to cross.
AI Quality Inspection on the Assembly Line
Take on the role of a factory inspection engineer! You’ll use an AI-powered camera with your robot to check if a computer chip has all its parts, simulating how factories make sure products meet quality standards.
AI-Powered Population Maps
Use the LLM block to collect real-world population and land area data from 10 different countries! Students will calculate population density, rank countries from most to least crowded, and create an AI-powered population map.
Intelligent Palletizing: Vision Guiding Sorting with LLM Logic
Attachments: Intelligent Palletizing – Vision Guided Sorting with LLM Logic – Student GuideIntelligent Palletizing – Vision Guided Sorting with LLM Logic – Teacher GuideOzomap for Vision Guided Sorting of Playing CardsORA Sorts Playing Cards More Properties: Grades: 10, 11, 12, 9 Subjects: AI, Computer Science, Engineering/Tech Academic Standards: CSTA.2-AP-11, CSTA.2-AP-13, CSTA.2-AP-19, CSTA.2-CS-02, CSTA.3A-AP-17, CSTA.3A-DA-11, CSTA.3B-AP-08, […]