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How to Train Your Robot Curriculum
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CC BY-NC
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How to Train Your Robot was originally developed as an extension of the AI + Ethics for Middle School curriculum. In its current form, How to Train Your Robot provides a full, one-week of activities that allow middle school students to explore artificial intelligence and ethics through hands-on activities.

In this course, students participate in a range of hot-topic discussions and hands-on, creative activities to learn about how artificial intelligence is impacting society today. Students will design robot companions to solve real-world problems and use machine learning to make them intelligent. At the end of the course, you will have designed your very own robot companion to share with the world.

Subject:
Applied Science
Computer Science
Education
Educational Technology
Material Type:
Lesson
Lesson Plan
Module
Unit of Study
Provider:
MIT
Author:
MIT Media Lab Personal Robots Group
i2 Learning
Date Added:
05/17/2024
MIT DAILy AI Curriculum
Conditional Remix & Share Permitted
CC BY-NC
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0.0 stars

Everyone will be impacted by AI in daily life and in the workplaces of the future. It is critical for all students to have fundamental knowledge of AI and to understand AI’s potential for good and harm. The Daily-AI program will jumpstart your readiness for AI and give you the tools you need to prepare for the AI-enabled world.

The Daily-AI workshop, designed by MIT educators and experienced facilitators, features hands-on and computer-based activities on AI concepts, ethical issues in AI, creative expression using AI, and how AI relates to your future. You will experience training and using machine learning to make predictions, investigate bias in machine learning applications, use generative adversarial networks to create novel works of art, and learn to recognize the AI you interact with daily and in the world around you.

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, MIT STEP Lab, and Boston College.

Contents:
Unit 0: What is AI?
- What is AI
- Algorithms as Opinions
- Ethical Matrix
- Decision Trees
- Investigating Bias
Unit 1: Supervised Machine Learning
- Introduction to Supervised Machine Learning
- Neural Networks
- Classifying AI vs. Generating AI
Unit 2: GANs
- What are GANs?
- Generator vs. Discriminator
- Unanticipated Consequences of Technology
- AI Generated Art
- What are Deepfakes?
- Spread of Misinformation
- Generate a Story
Unit 3: AI + My Future
- Environmental Impact of AI
- Redesign YouTube
- Careers in AI

Subject:
Applied Science
Computer Science
Computing and Information
Material Type:
Full Course
Interactive
Lecture
Module
Author:
Cynthia Breazeal
Irene Lee
MIT Media Lab Personal Robots Group
MIT STEP Lab
Date Added:
04/03/2024