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Introduction to bias for ELLs

The change made was adding an introduction to bias, distinguishing between facts and opinions, perspectives, and biases, tailored for ESL, bilingual, and regular students to comprehend bias in AI. This modification was designed to provide students with varying language proficiencies and backgrounds a foundation in understanding bias within the context of artificial intelligence, fostering inclusivity and equitable learning experiences.

paint brushes

Unit 2: Creative AI

This unit focuses on how AI is used to create and generate content, including text and images. It discusses GANs (Generative Adversarial Networks) and AI's impact on future jobs.

Cats & Dogs

Unit 1: AI Concepts

This unit introduces many of the basic concepts of AI, including supervised machine learning, neural networks, classifying AI vs. Generating AI, and starts to introduce students to thinking about careers in AI.

Forest

Unit 0: Introduction to AI

Most types of AI comprise three parts - a dataset, a learning algorithm, and a prediction - each of which can be influenced by different types of bias (such as algorithmic bias) to prioritize the values of some stakeholders over others.

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