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I'm Joe Feller. I'm a professor at the Cork University Business School.
Introduction to AI Fluency course focusing on human-AI collaboration and core competencies for effective, ethical AI use.
Key Takeaways
- AI fluency is about human-AI collaboration, not just technical AI knowledge.
- The four Ds framework guides effective and ethical AI interaction.
- Building core competencies prepares learners for current and future AI developments.
- Practical exercises reinforce learning and application of concepts.
- Understanding AI’s capabilities and limitations is crucial for responsible use.
What the video covers
- The course introduces the AI fluency framework, emphasizing human-AI interaction rather than just AI technology.
- It highlights AI as a trusted partner for creative and innovative problem-solving.
- The course aims to build confidence and capability in engaging with AI systems.
- AI fluency is defined as the ability to interact with AI effectively, efficiently, ethically, and safely.
- Focus is on core competencies called the four Ds: delegation, description, discernment, and diligence.
- Delegation covers deciding when humans or AI should perform tasks.
- Description involves clear communication with AI systems.
- Discernment focuses on evaluating AI outputs critically.
- Diligence ensures responsible, transparent, and accountable AI use.
- The course includes practical exercises and insights from Anthropic staff, aiming for deep understanding beyond tactical skills.
Chapters
- 00:00Introductions by Course Instructors
- 01:01Course Focus: Human-AI Collaboration
- 01:26Purpose and Importance of AI Fluency
- 02:01Defining AI Fluency and Course Goals
- 02:20The Transformation of AI in Daily Life
- 02:52Challenges and Opportunities in AI Adoption
- 03:01Overview of the AI Fluency Framework
- 03:14The Four Ds: Core Competencies for AI Interaction
- 03:37Course Structure and Learning Approach
- 03:52Anthropic Insights and Preparing for Future AI
Full Transcript — Download SRT & Markdown
Speaker A
My name is Drew Bent, and I'm a teacher programmer and a member of technical staff at Anthropic.
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My name is Rick Dacon from the Ringling College of Art and Design.
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I'm Maggie Vo, and I work on the education research team at Anthropic.
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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
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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
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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 fad. That's why we're publishing this course. In this course,
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we explore AI fluency, our ability to engage with AI systems in ways that are effective, efficient, ethical, and safe.
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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.
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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,
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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
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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
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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,
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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;
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discernment, 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
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practical understanding. We hope you'll spend much of your time during this course trying what you're learning.
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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 4Ds. Most AI training focuses solely on tactical skills like
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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.
Topics:AI fluencyhuman-AI interactionAI educationAI ethicsAI collaborationdelegationdescriptiondiscernmentdiligenceAnthropic
