Leadership Intelligence in the AI Era

The challenge today is not a lack of information (or analytics, dashboards, and AI outputs), but the judgment to use it well. What distinguishes leaders who consistently make smart decisions is their ability to quickly sort through signal and noise by asking essential questions, pressure-testing assumptions, and validating claims, not with statistical rigor, but from a business validity perspective. This form of leadership intelligence has become all the more important in the AI era. This course equips leaders to engage with AI output productively: to interrogate what an algorithm or model is really saying, recognize when “confidence” masks weak inputs or flawed framing, and bring context, experience, and accountability back into the decision.

In this workshop-style course, Professors Frank, Magnone, and Netzer build on their experience from Amazon, American Express, Deloitte, Google, IBM, Microsoft and PSB Insights as well as academia to teach Quantitative Intuition (QI), a practical framework and set of rapid-response tools for making better decisions in a data-driven world where AI is accelerating answers but not necessarily improving judgment. Students learn to frame issues with precision before rushing to solutions, develop intuition for numbers using pragmatic methods and apply contextual lenses to assess relevance, risk, and trust when information is incomplete.