Course Description
This critical thinking with AI course for tech professionals develops advanced critical thinking and analytical skills specifically designed for evaluating artificial intelligence outputs in professional settings. Participants master systematic analysis techniques used by elite forecasters to dissect AI recommendations, identify logical flaws, and apply rigorous evidence-based reasoning when AI-generated insights inform important decisions.
This session transforms participants from passive AI consumers into sophisticated analysts who can critically examine, validate, and strategically leverage artificial intelligence while avoiding the pitfalls that trap less-discerning users.
Delivery Approach
- Interactive with hands-on exercises using real AI outputs
- Practical focus – skills participants can apply immediately
- Small group format (max 14)
- 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
Course Structure
Times: 1 Day – 08:30 – 16:30 hrs
Breaks: One-hour lunch (peer discussion) plus 2 x 15 min coffee breaks
Course Author and Presenter
This course has been designed, built and will be presented in-person by renowned industry expert and AI contributor Edmund Sutcliffe in December in Galway, Cork and Dublin, Ireland. More locations may be scheduled on request. This course can be delivered at other locations throughout UK, Europe, Scandinavia and the USA.
Target Audience
This AI course is suitable for a tech audience:
- IT leaders making AI-assisted strategic decisions
- IT Professionals currently using AI tools (ChatGPT, data analysis AI, etc.)
- IT Project Managers integrating AI into workflows and decision-making
- IT Professionals who needs to critically evaluate AI outputs and underlying data
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.
This course is designed and presented in-person by AI Policy Contributor Edmund J Sutcliffe
Attendee Requirements
Though no coding is involved, participants require a technical background to fully engage with the course conversations and team labs/discussions.
This course is not specifically technical; it focuses on judgment skills.
Course Description
Course Outline
Navigating the AI Landscape: Critical Thinking for Smarter AI Engagement
Course Structure (08:30 AM – 4:30 PM) one hour working lunch with AM & PM coffee breaks
Morning: Foundations & Framework
- Science of elite judgment in the AI era
- DARPA-validated superforecaster techniques applied to AI
- Hands-on lab: Structured AI evaluation using research-based methods
Afternoon: Advanced Analysis & Implementation
- Data skepticism and statistical reasoning for AI outputs
- Strategic AI partnership through better human judgment
- Hands-on classroom practice with competitive scoring based on real-world scenarios
- Unique Value Proposition
- Evaluation Review & Integration including real world application planning exercise
Unlike generic “AI literacy” courses, this is grounded in scientifically validated judgment research.
Participants learn the same techniques that consistently outperform experts in prediction tournaments – now applied specifically to AI evaluation.
Delivery Approach
- Interactive with hands-on exercises using real AI outputs
- Practical focus – skills participants can apply immediately
- Small group format (max 14)
- 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
