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
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Artificial Intelligence Ethics in Action
This course is part of Ethics in the Age of AI Specialization
Instructor: Brent Summers
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Gain insight into a topic and learn the fundamentals.
4.6
(208 reviews)
Intermediate level
Some related experience required
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in English
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This course is part of the Ethics in the Age of AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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
Instructor
Instructor ratings
4.4 (81 ratings)Offered by
Recommended if you're interested in Data Analysis
University of Michigan
University of Colorado Boulder
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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