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.
Artificial Intelligence Ethics in Action
This course is part of Ethics in the Age of AI Specialization
Instructor: Brent Summers
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There are 4 modules in this course
Welcome to the capstone! Get to know a little bit about the projects we will be tackling in this section
What's included
1 video
Examining bias in a predictive text model
What's included
1 reading1 assignment
Understanding fairness issues with sensitive predictions
What's included
1 reading1 assignment
Predicting ethical issues before they arise in model theory
What's included
1 reading1 assignment
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University of Michigan
University of Colorado Boulder
Google Cloud
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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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