This collection of videos, articles, and activities introduces students to Artificial Intelligence, its history, and how it is used in the world all around us today. STEM role model and CEO of ROC.al Scott Swan discusses his career pathway and computer vision essentials.

Target Audience:
Grades 9-12

Examples of Key Concepts and Vocabulary:
Digital assets, Personally Identifiable Information (POI), cybersecurity, server, hacking, etc.

In Lesson 2, students explore the machine learning process and computer vision technologies. ROC.ai software engineer Cal Stroud discusses his career pathway, biometrics, and the value added to humans by leveraging AI to automate tasks.

Target Audience:
Grades 9-12

Examples of Key Concepts and Vocabulary:
Biometics, big data, machine learning model, credible, etc.

Students learn the AI foundation and application of Generative AI tools and technologies while considering the ethical implications for individuals and society as a whole. Lesson 3 also investigates the role that fact-checking, and intellectual property play in generative AI.

Target Audience:
Grades 9-12

Examples of Key Concepts and Vocabulary:
Chatbot, prompt engineering, algorithm, training data, etc.

Lesson 4 challenges students to evaluate ethical decision-making and investigate AI frameworks, policies, and guidelines that promote the safe, secure, and trustworthy use of AI. ROC.ai Chief Legal Counsel David Ray shares his perspective on the role of computer vision in creating a safer world.

Target Audience:
Grades 9-12

Examples of Key Concepts and Vocabulary:
Moonshot, industry 4.0, pitch, paradigm

Each module in Trustworthy AI: Computer Vision Essentials is facilitated by specially designed educator support materials:

• An “Educator Prep” section complete with directions and supplemental resources
• Interdisciplinary Connections
• Relevant and engaging videos and web links
• Rubrics for students content