AI Fluency: Framework & Foundations

What you’ll learn

By the end of this lesson, you'll be able to:

• Understand what AI Fluency means and why it matters in today's rapidly evolving technological landscape
• Recognize three emerging ways we collaborate with AI: Automation, Augmentation, and Agency

Why do we need AI Fluency?

This video explores what it really means to be "fluent" with AI and why this matters. We discuss how AI Fluency involves developing practical skills, knowledge, insights, and values that help you interact with AI systems in ways that are effective, efficient, ethical, and safe. We also introduce three ways people engage with AI:

• Automation: The AI completes specific tasks based on your instructions.
• Augmentation: You and AI collaborate as creative thinking and task execution partners.
• Agency: You configure AI to work independently on your behalf, establishing its knowledge and behavior patterns rather than just giving it specific tasks.

Feedback

As you progress through the course, we'd love to hear from you about how you are using concepts from the course in your life, work, or classes and any feedback you may have.

Share your feedback here.

Acknowledgments and license

Copyright 2025 Rick Dakan, Joseph Feller, and Anthropic. Released under the CC BY-NC-SA 4.0 license. This course is based on The AI Fluency Framework by Dakan and Feller. Supported in part by the Higher Education Authority, Ireland, through the National Forum for the Enhancement of Teaching and Learning.