by Ellie Haberl; illustrated by Stuart Sachs
Summary:
Imperfect Match introduces the topics of machine learning and algorithmic bias in the context of a digital system designed to match people with their perfect pet.
AI Themes:
Algorithmic Bias
Machine Learning
Read the Story:
Original version (word count: 1400)
Short version (word count: 853)
Spanish version
Download the Story:
Original version (pdf)
Short version (pdf)
Discussion Prompts:
• What do you think about the use of AI to match people with pets?
• What concerns do you have about AI being used for this purpose?
• How would you redesign this system to ensure that it is more equitable?
Related Activities:
Train an AI system using Google's Teachable Machine.
After testing your machine with new samples:
• How well did your machine perform?
• What changes could you make to continue to improve your machine?