Course Objective & Scope
Empirical studies show that while uncritical reliance on generative AI boosts short-term individual speed, it narrows idea diversity, weakens deep analytical muscles and erodes the domain expertise required to spot plausible-sounding errors. The greatest long-term risk for an enterprise is losing the human competence needed to judge the machine's output.
This course trains professionals to use AI not as a cognitive crutch that replaces thinking, but as a Socratic sparring partner that sharpens judgment. Participants practice human-first framing, adversarial prompting, bias de-biasing and deliberate skill-preservation routines.
Who Should Attend?
- Specialists in cognitively demanding roles across strategy, finance, legal, engineering, consulting and research
- Team leads and mentors responsible for developing foundational expertise in junior staff
- Managers and auditors overseeing high-stakes analytical and decision workflows
- Corporate academy and leadership development leads
Key Takeaways
- Recognise cognitive offloading, automation bias and the fluency illusion in daily AI interactions
- Apply Human-First Framing: forming an independent hypothesis before consulting the model
- Use LLMs as Socratic challengers and red-team critics that stress-test assumptions rather than flatter them
- Establish deliberate-practice rules so junior professionals build real domain mastery instead of copy-paste habits
- Run team review rituals that prevent AI-induced idea convergence and groupthink
Curriculum
The Cognitive Crutch Trap and Skill Atrophy
- From GPS navigation to analytical atrophy: what happens to cognitive muscles we stop exercising
- The fluency illusion: why polished, confident prose bypasses our critical filters
- LLM sycophancy: how models subtly validate the user's flawed premises
Human-First Framing and Desirable Cognitive Friction
- The 10-Minute Rule: drafting your own problem frame, hypothesis and criteria before prompting
- Replacing passive copy-pasting with active synthesis, source triangulation and edge-case probing
- Identifying core tasks where desirable cognitive difficulty must be preserved
Socratic Prompting and Adversarial Sparring Techniques
- Breaking model sycophancy: prompts that force the AI to attack your assumptions and find failure modes
- Steel-manning competing strategic options before converging on a decision
- Overcoming AI homogenisation through divergent persona and constraint prompting
Protecting the Apprenticeship Ladder and Building Expert Intuition
- The paradox of supervision: why you cannot audit an output you never learned to build yourself
- Deliberate-practice protocols for juniors: manual first pass followed by AI comparison
- Oral defence rituals in code review, financial modelling and legal drafting ("explain why this works")
Workshop: Critical Thinking and Decision Hygiene Protocol
- Live teardown exercise on a persuasive but subtly flawed AI strategy and analysis report
- Drafting a personal and team Cognitive Hygiene and Critical Verification Charter
- Creating a five-question pre-flight checklist for high-stakes decisions
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