Lesson 1: Introduction to AI Fluency | AI Fluency: Framework & Foundations Course |

• The course introduces the AI fluency framework, a model designed to improve how humans interact and collaborate with AI systems effectively, ethically, and safely.
• It aims to shift the mindset from merely thinking about AI to learning how to think with AI, treating it as a trusted partner for creative problem-solving.
• The framework focuses on core competencies, not just transient technical tips, to prepare individuals for the rapidly evolving AI landscape.

• The AI fluency framework is a fundamental guide for engaging with AI systems in ways that are effective, efficient, ethical, and safe.
• Instead of treating AI as just a technology, approach it as a trusted partner for creative and innovative problem-solving work.
• Shift your perspective from thinking about AI to learning how to think with AI to bridge the gap between AI's possibilities and comfortable, intuitive use.
• The framework is built around four core competencies, known as the Four Ds, which are crucial for richer human-AI interactions.
• Delegation addresses when to assign tasks to humans versus AI systems.
• Description focuses on communicating clearly and effectively with AI systems.
• Discernment teaches how to critically evaluate the outputs and information provided by AI.
• Diligence emphasizes ensuring responsible, transparent, and accountable interactions with AI.
• The course prioritizes developing deep understanding and core competencies over tactical skills like specific prompts, preparing you for future AI changes.

AI fluency framework — A structured model designed to guide effective, efficient, ethical, and safe interaction between humans and AI systems. Prompt engineering — The process of designing and refining inputs (prompts) to AI models to elicit desired outputs. Core competencies — Fundamental skills or abilities that are essential for effective engagement and long-term success with a technology. Delegation — The act of assigning tasks or responsibilities, specifically considering whether a task is best performed by a human or an AI. Description — The skill of clearly and precisely communicating intentions, context, and instructions to an AI system. Discernment — The ability to critically evaluate and judge the quality, accuracy, and relevance of information or outputs generated by AI. Diligence — The commitment to ensure interactions with AI are responsible, transparent, and accountable, considering ethical implications. Tactical skills — Specific, practical abilities or techniques, such as knowing particular settings or exact prompts, which can quickly become outdated.

I'm Joe Feller, I'm a professor at the Cork University Business School. My name is Drew Bent, and I'm a teacher, programmer, and a member of Technical Staff at Anthropic. My name is Rick Daken from the Ringling College of Art and Design. 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. And it's about approaching these possibilities confidently and capably. 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 that next prompt engineering fact. 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 it 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. 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. Here's the journey we'll take across this course. 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? Dissearnment which asks how do we evaluate what AI gives us? And diligence which asks how do we ensure our interaction with AI is responsible, transparent and accountable. 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 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 props 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 of fluid human AI collaboration, and the ability to evaluate and take responsibility for the outcomes of these collaborations. Thank you for joining us.