Assistant Professor
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The right questions make AI a valuable tool for decision-making. “Rethink How You Decide with AI” teaches you how to use AI as a thought partner, allowing you to make more intentional, informed decisions.
Through guided activities, reflection, and hands-on AI exploration, you'll examine the habits, assumptions, and patterns that shape your choices. You'll identify the constraints and tradeoffs behind real decisions, compare different approaches to setting priorities, and practice using AI to generate perspectives, challenge assumptions, and uncover blind spots.
Your goal isn’t finding the "perfect answer," it’s developing a flexible decision-making process that evolves with you. Along the way, you'll learn how to use generative AI to stress-test ideas, evaluate alternatives, and strengthen your reasoning while maintaining ownership of your decisions.
By the end of this course, you’ll have a personalized system that supports your decision-making, allowing you to move forward with your ideas with great clarity, confidence, and intention.
This is the third course in the Applied AI: Data Analysis, Workflows, and Decisions series, a three-course series on practical ways to integrate AI into your personal and professional routines.
Welcome to Rethink How You Decide with AI! This course teaches you how to use AI as a thought partner, allowing you to make more intentional, informed decisions.
Through guided activities, reflection, and hands-on AI exploration, you'll examine the habits, assumptions, and patterns that shape your choices. By the end of this course, you'll have a personalized system that supports your decision-making, allowing you to move forward with your ideas with greater clarity, confidence, and intention.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Module One: Seeing Clearly
Module Two: Thinking Well
Module Three: Update as You Learn
There are three quizzes in this course, each worth 33.33% of your final grade. You must earn an overall grade of 80% in order to pass the course and earn the certificate.
Assistant Professor
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
Basic familiarity with computers and internet search is recommended.