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University of Michigan

Decoding AI: A Deep Dive into AI Models and Predictions

University of Michigan via Coursera

Overview

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Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understanding of how AI works. Work to understand different critiques of AI narratives, learn to navigate conversations with precision, discern conflicts of interest, and appreciate the multidisciplinary expertise needed to shape AI's impact on society. This course provides you with the strategies and frameworks to engage in better conversation about the role of AI in your work and beyond. This is the third course in Understanding Data: Navigating Statistics, Science, and AI Specialization, in which you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.

Syllabus

  • Welcome, Introduction and What Does "Artificial Intelligence" Really Mean?
  • How Do Machine Learning Systems Work?
  • The Limits of Data and Prediction
  • How to Have Better Conversations About AI

Taught by

Elle O'Brien

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