Critical Thinking: The Human Skill AI Can't Replace

Generative AI is now embedded in everyday work, from board pre-reads and budget forecasts to hiring shortlists and customer communications. Adoption is racing ahead of organizational judgment, and the gap is widening. Recent industry surveys report that the majority of organizations now use generative AI in at least one business function, yet only a small minority review the content that AI produces before it reaches a decision-maker or a customer. The consequence is a quiet decay in decision quality, with downstream costs that surface as compliance findings, reputational damage, lost revenue, and avoidable rework.

This course, Critical Thinking and Decision-Making for the AI Era, is designed to close that gap. In two tightly scoped modules, it combines a structured AI Output Trust framework, a unified bias model that integrates human and algorithmic bias, and a practiced playbook of human-AI collaboration workflows. Unlike philosophy-led critical thinking courses or prompt-engineering tutorials, this course is built around named real-world AI cases and a working decision journal that learners maintain across the course and beyond.