We live in an age increasingly dominated by algorithms. As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. In this course, we will explore the rise of algorithms, from the most basic to the fully-autonomous, and discuss how to make them more ethically sound.
This course is part of the Ethics in the Age of AI Specialization
Offered By


About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Understanding of algorithms
- Familiarity with predictive models
- Overview of ethics considersations
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Getting Started: Algorithms
AI and Model Outcomes
Rules for AI: training and constraints
Ethical AI: Cause and Effect
Reviews
- 5 stars80.59%
- 4 stars14.17%
- 3 stars2.98%
- 2 stars0.74%
- 1 star1.49%
TOP REVIEWS FROM ARTIFICIAL INTELLIGENCE ALGORITHMS MODELS AND LIMITATIONS
A great overview of the need for ethics in AI development
Just like business leaders should learn about business ethics, so should machine learning specialists learn about the ethical dimensions of their output.
Interesting and short course on basics of AI models and limitations
Very broad concepts but still engaging and thought provoking. This course focuses more on AI ethics rather than algorithms.
About the Ethics in the Age of AI Specialization

Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.