Decoding AI: A Deep Dive into AI Models and Predictions
University of Michigan
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 âlearnâ 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 expert
About this Course
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 âlearnâ 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 expert
What You'll Learn
- Learn key concepts and terminology in artificial intelligence (AI), including machine learning, generative AI, and deep learning
- Learn the core components of machine learning systems, including data, models, and evaluation techniques
- Recognize why AI systems can fail and identify the kinds of work required to make useful technology
- Identify common pitfalls in conversations about AI and recognize conflicts of interest when interpreting claims about AI systems
Instructors
Elle O'Brien
University of Michigan School of Information