MIT AI Literacy Units

​The MIT Responsible AI for Social Empowerment and Education (RAISE) Resources page offers a collection of free educational materials aimed at enhancing AI literacy. While primarily designed for K-12 students, these resources are valuable for anyone interested in learning about AI.​

Highlighted Tutorials:

  • Facemesh Camera Filter: This tutorial guides users in creating custom facial filters using facial landmark detection and the Facemesh technology. It’s an engaging way to understand AI applications in image processing.

  • Therapist Bot Tutorial: Learn to develop a virtual therapist application using MIT App Inventor. This project introduces natural language processing and conversational AI, demonstrating how AI can simulate therapeutic conversations.

  • Personal Image Classifier: This resource enables users to train a custom image classification model to recognize various objects or expressions. Utilizing MIT App Inventor, users can develop mobile applications that incorporate their trained models, offering practical experience in machine learning and mobile app development. ​

  • RAISE AI Playground: An interactive, block-based programming platform that allows users to explore machine learning models, robotics, and AI engines. Designed to make AI learning accessible and enjoyable, the playground supports various projects, including image and text classification, natural language processing, and more.

All materials are available under Creative Commons licensing, facilitating broad access and adaptation. For more information and access to these resources, visit the MIT RAISE Resources page.
 


:information_source: Resources
https://raise.mit.edu/resources/