📖 Lesson content
Estimated time for this module: 10-15 minutes
By the end of this lesson, you will be able to:
- Understand the purpose and structure of the course
- Recognize the importance of AI Fluency in today's world
- Identify key components of your learning journey ahead
- Set clear expectations for what you'll gain from this course
Introduction to AI Fluency
(4 minutes)
Welcome! This video introduces you to this course’s focus: developing meaningful collaboration with AI rather than just learning about AI technology. We explain that this course explores how to build a lasting framework for working with AI systems that goes beyond simple and temporary tips and tricks. We explain what we mean by AI Fluency: it is the ability to collaborate with AI in ways that are effective, efficient, ethical, and safe. We also outline the course structure, which covers each of the AI Fluency core competencies (the 4Ds) as well as key technical and practical concepts. By the end of the course, you'll have a framework for thoughtful AI interaction, confidence in choosing when and how to work with AI effectively, practical collaboration skills, and the ability to evaluate and disseminate AI-assisted work responsibly.
Key takeaways
- This course focuses on human-AI collaboration, not just understanding AI as a technology
- AI Fluency means engaging with AI systems effectively, efficiently, ethically, and safely
- The AI Fluency Framework centers on the "4D" competencies of Delegation, Description, Discernment and Diligence
- The goal is to develop lasting skills that remain relevant as AI technology evolves
- Effective AI collaboration requires both practical skills and a fundamental shift in how we think about working with AI
Exercises
Putting things into practice
You'll need access to a language model (5-10 mins)
Throughout this course, you'll practice what you're learning by working directly with a language model. While our examples feature Claude (Anthropic's AI assistant), you're welcome to work with any language model you prefer. The principles and skills we'll explore apply across different AI systems.
Getting started is simple and free:
- Claude: Visit claude.ai to create a free account
- No paid subscriptions required to complete course activities
- You can also use other AI chatbots as you prefer
New to Claude? No worries! We'll provide clear guidance with each exercise to help you get started.
Reflection
Before moving on, take a moment to consider your own experiences with AI:
- What challenges have you encountered when working with AI to achieve specific outcomes?
- What possibilities for AI collaboration excite you most?
- What do you hope to gain from this course?
What’s next
In the next lesson, we'll explore why AI Fluency matters in today's rapidly evolving technological landscape. We’ll introduce three key ways people collaborate with AI (Automation, Augmentation, and Agency) and the core competencies of the AI Fluency Framework: the "4Ds" of Delegation, Description, Discernment, and Diligence.
Feedback on this course
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.
🎬 Video transcript
Source video:
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📜 Click to expand transcript (cleaned + AI-translated)
Introduction to the AI Fluency Framework
Joe Feller: I'm Joe Feller, a professor at the Cork University Business School.
Drew Bent: My name is Drew Bent; I'm a teacher, programmer, and a member of the Technical Staff at Anthropic.
Rick Daken: My name is Rick Daken from the Ringling College of Art and Design.
Maggie Voe: I'm Maggie Voe, and I work on the Education Research Team at Anthropic.
Let's begin our exploration of the AI fluency framework. The focus of this course is not really about AI as a technology. Instead, it's mostly about you and I—us humans—and how we interact and collaborate with AI systems. It's about imagining possibilities that don't treat AI as some sort of next-level spell checker, but instead as a trusted partner for doing creative and innovative problem-solving work. It is about approaching these possibilities confidently and capably.
The Need for a Fundamental Framework
Let's face it: the AI world moves extremely quickly, and it's very hard to know where to start or how to keep up unless you have a grounding fundamental framework to guide you and get you past the next prompt engineering fad. That's why we're publishing this course.
In this course, we explore AI fluency: our ability to engage with AI systems in ways that are effective, efficient, ethical, and safe. You'll learn plenty of practical skills, but this isn't just another collection of technical definitions or prompting tips that may be outdated next month. This course is about fundamentally shifting how we approach AI. We want to change how we think about AI so that we can learn how to think with AI.
Bridging the Gap in Human-AI Interaction
Over the last few years, AI has transformed from specialized technologies to interactive systems that millions use daily at school, at work, and at home. This transformation creates both opportunities and uncertainty. We see organizations adopting AI without clear strategies. We watch people growing frustrated with systems that they don't fully understand. And we're all experiencing a widening gap between what's possible and what feels comfortable and intuitive. This course exists to help us bridge this gap together.
The Four Ds of AI Fluency
First, we'll give an overview of the AI fluency framework—a model for human-AI interaction that we have found useful and powerful. We'll discuss the ways we interact with AI systems and four core competencies, which we call the "Four Ds," that transform those interactions into something richer and much more rewarding.
Then, we'll look at each competency more closely. In brief, these are:
- Delegation: Which asks, "When should humans do work and when should AI?"
- Description: Which asks, "How do we communicate clearly with AI systems?"
- Discernment: Which asks, "How do we evaluate what AI gives us?"
- Diligence: Which asks, "How do we ensure our interaction with AI is responsible, transparent, and accountable?"
Learning Approach and Objectives
Each section includes focused videos paired with exercises and materials to build practical understanding. We hope you'll spend much of your time during this course trying what you're learning. You'll also hear directly from a few of us at Anthropic about what makes today's AI different from previous technologies, the real capabilities and limitations of these systems, and practical techniques that apply the Four Ds.
Most AI training focuses solely on tactical skills like specific prompts, which settings to adjust, or which systems to use. While useful, these skills can quickly become outdated. We're taking a different approach and focusing on core competencies and deep understanding so that you're prepared not just for today's AI, but for the changes to come.
By the end of our time together, you'll have:
- A framework to guide your own interactions with AI.
- Confidence in deciding when and how to engage AI effectively.
- Practical skills for more thoughtful and fluid human-AI collaboration.
- The ability to evaluate and take responsibility for the outcomes of these collaborations.
🔁 Related lessons
- Next: Why do we need AI Fluency?
- Part of paths: Path A · Path B · Path E · Path F · Path G
- Reference docs: Glossary · Skills atlas · By use-case
📚 Source & attribution
- Original Anthropic Academy lesson: https://anthropic.skilljar.com/ai-fluency-framework-foundations/291863
- © 2025 Anthropic. Educational fair-use only.