This critical thinking with AI course equips CEO’s, business managers and leaders with essential critical thinking skills for the AI era. Learn to evaluate outputs from large language models and statistical AI systems, ask the right questions, and apply these tools effectively to real-world challenges.
As AI transforms business decision-making, leaders need more than access to technology. AI can generate answers instantly, but knowing which answers to trust, how to refine them, and when to push back requires human judgment. They need the judgment to use it wisely. This course help to develop that judgment.
What You'll Gain:
- Frameworks for critically analyzing AI-generated insights and recommendations
- Practical techniques for identifying strengths and limitations in statistical reasoning
- Elite forecasting techniques from DARPA's superforecaster research for evaluating AI accuracy
- Skills to make better decisions when working with LLMs and other AI approaches
- Confidence to lead in an AI-augmented business environment
Delivery Approach
- Interactive (non-web based) with hands-on exercises using real AI outputs including Evaluation Review & Integration
- Practical focus - skills participants can apply immediately
- Small group format (max 14) for personalised attention
- Research-based methodology with tournament scoring and calibration exercises
What Participants Leave With
- Structured framework for evaluating any AI output
- Calibration tools to improve decision accuracy
Note: This course teaches critical thinking skills for evaluating and applying outputs from LLMs and other statistical AI methods, equipping you with tools to reason through problems using statistical approaches.
Course Structure
Times: 1 Day – 08:30 – 16:30 hrs
Breaks: One-hour lunch (peer discussion) plus 2 x 15 min coffee breaks (lunch/refreshments are included).
Designed and presented in-person by AI Policy Contributor Edmund Sutcliffe.