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

Course Overview 00:22

• The course is led by Joe Feller, Drew Bent, Rick Dacon, and Maggie Vo, focusing on the AI fluency framework.
• The primary goal is to enhance human interaction and collaboration with AI systems, treating AI as a partner in problem-solving rather than just a tool.
• Emphasizes the importance of having a fundamental framework to keep pace with the rapidly evolving AI landscape.

AI Fluency Framework 01:16

• The course aims to teach effective, efficient, ethical, and safe engagement with AI systems.
• It seeks to shift perspectives from merely using AI tools to thinking collaboratively with AI.
• Recognizes the transformation of AI into widely used interactive systems, highlighting both opportunities and uncertainties.

Four Core Competencies 02:29

• The framework includes four competencies, referred to as the "four Ds":
  • Delegation: determining when tasks should be performed by humans versus AI.
  • Description: communicating clearly with AI systems.
  • Discernment: evaluating the outputs provided by AI.
  • Diligence: ensuring responsible, transparent, and accountable interactions with AI.

Course Structure and Learning Approach 03:20

• Each section includes practical exercises and materials to enhance understanding of the competencies.
• The course will feature insights from Anthropic team members on the unique aspects of modern AI technologies and practical applications of the four Ds.
• Focuses on developing core competencies and deep understanding rather than just tactical skills, preparing learners for future AI advancements.

Learning Outcomes 03:52

• By the end of the course, participants will have a guiding framework for AI interactions, confidence in engaging AI effectively, and skills for thoughtful human-AI collaboration.
• Learners will also be equipped to evaluate and take responsibility for the outcomes of their AI collaborations.