Unpacking the Black Box: Explaining Algorithms and AI
In this lesson, students learn about algorithms and AI, how they work, how they impact our lives on the internet, and ethical considerations. The lesson begins with a class discussion on algorithms. Students will discuss how AIs reinforce real-world biases, the difficulties in identifying how AIs make decisions, what information algorithms use to make choices, and how that information impacts the types of decisions AIs make. Finally, students will demonstrate their knowledge by researching and designing an infographic on a field that uses algorithms to make decisions. This lesson aims to build critical thinking skills by examining how AI algorithms work, investigating the biases and impacts of AI decision-making, and reflecting on how the implications to their own lives.
The gift of art in the age of AI
Original digital art takes patience and skill. While yes, you could ask ChatGPT to recreate something similar with the right prompt, it doesn’t come close to the heart or care that was put into this original artwork and it doesn’t quite look the same.
What is AI?
This guide provides an overview of what AI is – and in particular Generative AI – and gives two examples of main AI tools you are likely to encounter. Then it explains some key ethical and social issues related to Generative AI.
Recommendation algorithms
Recommendation is where the role of algorithms is most visible to the public.
Generative AI
Generative AI is what we call AI systems that can generate things like images, video, voice and text. They do this by first encoding many examples of the kind of content they’re going to make, then decoding to make something new.