Understanding Regularization in Machine Learning
March 20, 2024
Article
This course is part of Ethics in the Age of AI Specialization
Instructor: Brent Summers
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AI Ethics research is an emerging field, and to prove our skills, we need to demonstrate our critical thinking and analytical ability. Since it's not reasonable to jump into a full research paper with our newly founded skills, we will instead work on 3 projects that will demonstrate your ability to analyze ethical AI across a variety of topics and situations. These projects include all the skills you've learned in this AI Ethics Specialization.
Welcome to the capstone! Get to know a little bit about the projects we will be tackling in this section
1 video
Examining bias in a predictive text model
1 reading1 assignment
Understanding fairness issues with sensitive predictions
1 reading1 assignment
Predicting ethical issues before they arise in model theory
1 reading1 assignment
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Reviewed on Feb 2, 2025
Insightful course with practical use cases for analysis.
Reviewed on Jan 27, 2024
AI ethics often involve considerations such as fairness, transparency, accountability, privacy, bias mitigation, and the impact of AI on society.
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