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3.1 Unanticipated Consequences of Technology Lesson

This lesson introduces students to the potential consequences of AI technologies and shows them that such consequences may or may not be the ones we intended or anticipated. Students will learn that AI technologies can have unanticipated effects on seemingly unrelated systems (e.g., social, cultural, environmental, etc.)

2.2 How do GANs Work? Lesson

This lesson introduces students to how GANs work as a result of the interplay between generator and discriminator neural networks. Students will learn how the generator and discriminator compete with one another to generate text, images, videos, and more.

2.1 What are GANs? Lesson

In this lesson, students will learn that GANs can generate art such as photographs, paintings, handwritten poetry, music, and jokes (that are kind of funny! Maybe.)

1.5 Planting the Seed of STEM Jobs Lesson

In this activity, students will learn about what STEM jobs are, why they should consider STEM jobs, and why it is important for everyone to participate in STEM jobs.

1.4 Inventory of Me Lesson

In this activity, students will learn about Holland’s work personality types and examples of jobs favored by people with each type. This lesson requires the students to use the Internet to answer a survey and explore a website.

0.6 Career Daydream Lesson

In this lesson, students will daydream about what a typical work day is going to be like in 30 years. The instructor will read a pre-written script to help students meditate and guide them to share their answers.

0.2 Algorithms as Opinions Lesson

This lesson introduces students to what an algorithm is, using the making of peanut butter jelly sandwiches as an example. Students will learn that an algorithm is like a recipe and that different people tend to prefer different algorithms based on their varied interests and goals.

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