What is the Creative AI curriculum?

As the presence of Artificial Intelligence (AI) expands significantly in children’s lives of learning and play, it is critical that students learn to be conscientious consumers of AI from an early age. Though the need for democratizing AI education is often recognized, there are no current efforts to educate school-age children on the workings and implications of generative adversarial networks (GANs), despite their widespread use and misuse in media.

The goal of this curriculum is to teach middle school children about Creative Machine Learning techniques and how they can partner with AI to create art. We will explore tools and techniques such as Neural Networks and GANs across various forms of media, such as text, images, music, and videos. We frame this curriculum as an exploration of creativity, such that children’s creative and imaginative capabilities can be enhanced by innovative technologies. Further, we aim to have discussions throughout the workshop to highlight important ethical issues around generative AI, such as ownership of art and generation of hyperrealist fake media. This course is meant to be hands-on and encourages the explorative creation of art with and without AI tools. Throughout this course, students will have discussions around open-ended questions such as:

These questions will allow them to reflect on how machine art differs from human created art, as well as the role that machines play in technology-guided creation.

Copyright (CC-BY-NC)

License: CC-BY-NC under Creative Commons

These materials are licensed as CC-BY-NC under creative commons. This license allows you to remix, tweak, and build upon these materials non-commercially as long as you include acknowledgement to the creators. Derivative works should include acknowledgement but do not have to be licensed as CC-BY-NC.

To acknowledge the creators, please include the text, "The DAILy Curriculum for Middle School Students was created by the MIT Media Lab Personal Robots Group".

More information about the license can be found at: https://creativecommons.org/licenses/by-nc/4.0/

People interested in using this work for for-profit commercial purposes should reach out to Cynthia Breazeal at cynthiab@media.mit.edu for information as to how to proceed.


This curriculum is currently being piloted through NSF EAGER Grant 2022502. This is a joint venture between the Personal Robots Group at the MIT Media Lab and Amazon Future Engineer.

We'd like to thank our pilot partners, STEAM Ahead and BC College Bound, for their enthusiasm and support in this project.