Thinking With Critical Insight using A.I.

price starting at:
$795
course duration:
1 Day
training option:
Live Online and Dedicated Workshops
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Course Overview

AI can accelerate thinking, but it cannot replace critical judgment.

In a world where artificial intelligence accelerates information, analysis, communication, and decision-making, the ability to think critically is more essential than ever. AI can help leaders generate ideas, summarize information, and explore possibilities quickly, but it cannot determine what is accurate, ethical, relevant, or wise. This workshop helps participants use critical insight to validate AI-assisted output, challenge assumptions, reduce bias, and apply sound human judgment to leadership decisions.

Looking for a half-day or open enrollment option for yourself or your team? Find our public course schedule here.

Thinking With Critical Insight using A.I. Course Overview

Learning Objectives

  • Apply the four major steps of critical thinking to AI-supported decisions and workflows
  • Recognize the COACHES characteristics of successful critical thinkers and apply them to responsible AI use
  • Explain sources of human and AI-enabled bias and how to minimize them through objectivity, validation, and open-mindedness
  • Evaluate, identify, and distinguish between relevant, irrelevant, unsupported, and AI-generated information
  • Use curiosity and stronger questions to improve AI prompts, human reasoning, and final judgment
  • Understand how to apply critical thinking best practices in daily leadership work when using AI tools and outputs

COURSE AGENDA

In this workshop, participants learn to use AI as a thinking partner while keeping critical thinking at the center of the process. Using the same four-section flow as Thinking with Critical Insight, participants explore how open-mindedness, analysis, COACHES characteristics, LAB, fallacies, evaluation, and SWOT can be applied to AI-supported work. The course emphasizes practical leadership habits: ask better questions, organize information, test outputs, reduce bias where possible, and decide responsibly.

Personal Leadership

Self Development

  • The Challenges of Modern Thinking When AI Accelerates Information
  • Why Critical Thinking Becomes More Important, Not Less Important
  • Becoming Rational Thinkers in an AI-Supported Workplace
  • Distinguishing Thinking, Critical Thinking, and AI-Assisted Thinking
  • Open-Mindedness, Multiple Perspectives, and Prompted Perspectives
  • Non-Linear Thinking with AI as a Thinking Partner
  • Activities: Prompt, Perception, and Perspective; AI-Assisted Problem Exploration

  • Four Steps to Utilizing Analysis and Logic
  • Prompting as Questioning: Defining the Problem Before Using AI
  • Asking the Right Questions of the Situation and the Output
  • Organizing Human, Verified, and AI-Generated Information
  • Evaluating Accuracy, Relevance, Completeness, Logic, and Risk
  • Drawing Conclusions Based on Facts, Not Fluency
  • Building Better Processes Instead of Fire-Fighting
  • Activities: AI-Supported Recommendations by Thinking Style; AI-Specific Critical Thinking Challenges

  • COACHES as a Leadership Model for Responsible AI Use
  • Curiosity: Asking Better Prompts, Follow-Ups, and Challenges
  • Objectivity: Separating Confidence from Evidence
  • Active Listening: Using AI to Prepare, Not Replace, Human Understanding
  • Contextualization: Providing Business, Stakeholder, and Risk Context
  • Humility: Treating AI Output as Draft Until Validated
  • Emotional Control: Slowing Down Under Pressure, Conflict, or Urgency
  • Self-Awareness: Spotting Assumptions and Preferred Conclusions in Prompts
  • Activity: Ranking Your AI-Ready COACHES Characteristics

  • Applying LAB: Limitations, Assumptions, and Bias to AI Outputs
  • Identifying What AI Does Not Know, Cannot See, or May Distort
  • Recognizing AI-Era Fallacies and Strengthening Reasoning
  • Separating Truth, Validity, and Persuasive Language
  • Using Diagnostic, Formative, and Summative Evaluation for AI Initiatives
  • Reducing Bias and Validating Outputs Before Trusting Them
  • Conducting an AI-Informed SWOT Analysis
  • Activities: AI Fallacies in Action; AI-Enabled Strategic Planning Implementation SWOT

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