AI for Oceans

Learners of all ages get an introductory experience with coding and computer science in a safe, supportive environment. First, students classify objects as either "fish" or "not fish" to attempt to remove trash from the ocean. Then, students will need to expand their training data set to include other sea creatures that belong in the water. In the second part of the activity, students will choose their own labels to apply to images of randomly generated fish. This training data is used for a machine-learning model that should then be able to label new images on its own.

This tutorial is designed to quickly introduce students to machine learning, a type of artificial intelligence. Students will explore how training data is used to enable a machine-learning model to classify new data. Students should have a positive experience during the tutorial and more importantly should be motivated to keep learning computer science.

Students will be able to:

• Discuss the role artificial intelligence plays in their lives.

• Reason about how human bias plays a role in machine learning.

• Train and test a machine learning model.

Enhance Technology Skills

Course Link

• https://studio.code.org/s/oceans/lessons/1/levels/1