Generative AI tools are revolutionizing how we access information, make decisions, and form opinions, but they also introduce new risks. In an age where AI can generate confident-sounding claims, charts, and arguments at scale, critical thinking is more essential than ever.

Beyond the Obvious: How to Think in the Age of Generative AI

位教师:Kiron Ravindran
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该课程共有4个模块
In this module, students will explore why not all patterns in data are meaningful. They’ll learn how randomness creates illusions that our minds instinctively misinterpret, how correlation can be confused with causation, and why spurious patterns often emerge when data is selected, framed, or misunderstood.
涵盖的内容
10个视频10篇阅读材料6个作业1个应用程序项目
10个视频•总计29分钟
- The Pattern-Hungry Brain•2分钟
- A Tiny Introduction to Correlations•2分钟
- When Correlation Feels Causal•6分钟
- The Real Explanation Was Offstage•2分钟
- When a Hidden Factor Flips the Story•2分钟
- From Margarine to Madness: Spurious Correlations in Real Life•3分钟
- How to Prove Causality: From Correlation to Confidence•5分钟
- The Success Jinx Isn’t Real (But the Data Explains It)•2分钟
- Luck, Talent, and the Long Game•2分钟
- What Regression to the Mean Really Looks Like•3分钟
10篇阅读材料•总计119分钟
- Glossary•30分钟
- What Is a Correlation?•10分钟
- Correlation Coefficient vs. the Slope of a Line and Implications for Effect Sizes•10分钟
- Optional Reading: The Laffer Curve•10分钟
- Pneumonia Patients Dataset•10分钟
- Optional Video: What Are RCTs?•9分钟
- Understanding Regression to the Mean•10分钟
- Practice with GenAI: Intervention or Coincidence?•10分钟
- Optional Reading: Not a Decline - Just Regression to the Mean (Ft. Taylor Swift)•10分钟
- Connect the Dots: From Association to Cause•10分钟
6个作业•总计110分钟
- Module 1 Final Quiz•30分钟
- Ignite Your Curiosity: Causation or Coincidence?•10分钟
- One Data Point Can Change the Story•15分钟
- When “After” Feels Like “Because”•20分钟
- Formative Assessment: Confounders and Spurious Patterns•15分钟
- Formative Assessment: Possibly Wrong Decisions•20分钟
1个应用程序项目•总计60分钟
- Practice Activity: When the Correlation Hides the Real Cause•60分钟
Even perfect-looking data can mislead if it’s built on biased foundations. In this module, students will explore how flawed sampling, missing or invisible data, and selective reporting distort what we think we know, and how to critically examine not just the source of the data, but the way it’s framed, filtered, and used.
涵盖的内容
9个视频4篇阅读材料6个作业
9个视频•总计37分钟
- Introduction to Module 2•1分钟
- Survivorship Bias: The Missing Data That Changes Everything•5分钟
- The Success We See vs. The Failure We Don’t•4分钟
- The Sharpshooter and the Startup Playbook•3分钟
- Biased Samples, Biased Thinking•4分钟
- Anecdotes Are Not Evidence•5分钟
- When Science Looks Better Than It Is•6分钟
- How Snake Oil Sells: Flawed Thinking in Wellness and Pseudoscience•5分钟
- What the Statistician Sees That We Don’t•4分钟
4篇阅读材料•总计32分钟
- Peter Thiel's Contrarian Strategy•10分钟
- Answer: Guess That Sign!•2分钟
- Are News Sites Focused on the Wrong Metrics?•10分钟
- Connect the Dots: The Full Picture Beyond Winners•10分钟
6个作业•总计120分钟
- Module 2 Final Quiz•30分钟
- Ignite Your Curiosity: Who’s Left Out?•10分钟
- Practice Activity: The Helmet Paradox•30分钟
- Formative Assessment: Calls That Disappeared •20分钟
- Formative Assessment: Spot the Bias•15分钟
- Formative Assessment: Highlighting What Works and Hiding the Rest•15分钟
Numbers don’t lie, but they can mislead when context is missing. In this module, students will explore how aggregation, base rate neglect, and selective framing distort our understanding of data. They’ll learn to question the comparisons they’re shown and think carefully about the ones they’re not.
涵盖的内容
8个视频10篇阅读材料6个作业
8个视频•总计42分钟
- Not All Averages Tell the Truth•2分钟
- Simpson’s Paradox: When the Big Picture Lies•4分钟
- Real-World Reversals•4分钟
- What Are Base Rates and Why Do We Ignore Them•5分钟
- Raw Counts vs. Proportions: The Denominator Problem•4分钟
- Thinking in Base Rates: A Smarter Default•6分钟
- Bayes’ Theorem Bonus Video: A Walkthrough of the Math•7分钟
- The Fake News Machine: Denominators, Exposure, and the Illusion of Frequency •10分钟
10篇阅读材料•总计95分钟
- When the Obvious Answer Is Wrong and How GenAI Can Help•10分钟
- Why We Know So Little About Women’s Health•10分钟
- Practice Activity: Some Challenging Examples•10分钟
- How to Overcome the Base Rate Fallacy•10分钟
- The Base Rate Fallacy Meets the COVID-19 Pandemic•10分钟
- Why Do We Rely on Specific Information over Statistics?•10分钟
- Optional Reading: The Monty Hall Problem and the Bayes' Theorem•10分钟
- More Practice with Denominator Neglect•5分钟
- Fact-Checking•10分钟
- Connect the Dots: Thinking Twice About Crime•10分钟
6个作业•总计120分钟
- Module 3 Final Quiz•30分钟
- Ignite Your Curiosity: What’s in the Numbers?•10分钟
- Formative Assessment: Educational Test Scores•20分钟
- Formative Assessment: Fraud Alerts and the Base Rate Fallacy•30分钟
- Reflection Question on Exposure Bias•15分钟
- Formative Assessment: A Thinking Check•15分钟
In the age of GenAI, large language models can become powerful tools to sharpen rather than replace our judgment. This module shows students how to use GenAI tools to test assumptions, simulate disagreement, surface alternative perspectives, and reflect more critically on their own reasoning.
涵盖的内容
10个视频5篇阅读材料7个作业
10个视频•总计42分钟
- We Are the Easiest People to Fool•4分钟
- How GenAI Can Surface Our Blind Spots•3分钟
- Practicing Intellectual Humility with a Thinking Partner•5分钟
- Evidence, Logic, and the Trap of Overconfidence•4分钟
- Using GenAI as a Logic Coach and Fallacy Litmus Test•5分钟
- Practicing Skepticism Without Cynicism•4分钟
- Why Objectivity Is So Hard (and So Important)•5分钟
- Finding Complexity in What Seems Obvious•3分钟
- Curiosity Before Certainty•4分钟
- Using GenAI to Stay Curious and Think Better•6分钟
5篇阅读材料•总计50分钟
- Pseudo Skepticism: What Is Not Critical Thinking?•10分钟
- Collective Pessimism and Our Inability to Guess the Happiness of Others•10分钟
- Correct for the Media's Negativity Bias•10分钟
- False Equivalence•10分钟
- Connect the Dots: Unpacking the Claim with the Help of GenAI•10分钟
7个作业•总计165分钟
- Module 4 Final Quiz•30分钟
- Ignite Your Curiosity: A Sky-High Claim•10分钟
- Formative Assessment: Using AI to Surface Blind Spots•25分钟
- Formative Assessment: I Believe This... But What Does the Evidence Say?•30分钟
- Formative Assessment: Spotting Bias in Confident Claims•30分钟
- Practice Activity: Practicing PERCH to Find the Truth•20分钟
- Formative Assessment: Curiosity Fuels Better Thinking•20分钟
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IE Business School is an internationally recognized business school where the leaders of tomorrow shape their ideas and learn to become global citizens. For over 40 years, IE Business School has promoted innovation and change in organizations, equipping managers with an entrepreneurial mindset that generates employment, wealth, and social well-being. Regularly featured among the top business schools in the world, IE Business School has an urban campus in Madrid and a faculty of more than 400 professors who teach students from approximately 90 countries in its undergraduate and master programs. IE uses innovative online, face-to-face, and blended learning formats, including the IE Communities Platform where knowledge and experiences are exchanged with over 50,000 IE graduates that currently hold management positions in more than 100 countries worldwide.
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