Model Online / On-Site
Duration
Modules 5 modules

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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