This course is part of the Ethics in the Age of AI Specialization

4.8
stars
80 ratings

Brent Summers

4,412 already enrolled

Offered By

Ethics in the Age of AI SpecializationLearnQuest

About this Course

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In this course, we will explore fundamental issues of fairness and bias in machine learning. As predictive models begin making important decisions, from college admission to loan decisions, it becomes paramount to keep models from making unfair predictions. From human bias to dataset awareness, we will explore many aspects of building more ethical models.

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Shareable Certificate

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Course 2 of 4 in the

Ethics in the Age of AI Specialization

Beginner Level

Approx. 6 hours to complete

English

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Skills you will gain

machine learning fairness
Ethics
data bias

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 4 in the

Ethics in the Age of AI Specialization

Beginner Level

Approx. 6 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.59/5 (25 Ratings)

Brent Summers

Developer and Teacher

9,358 Learners

7 Courses

Offered by

LearnQuest

LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.

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Syllabus - What you will learn from this course

Week1

Week 1

2 hours to complete

Fairness and protections in machine learning

2 hours to complete

5 videos (Total 19 min), 2 readings, 3 quizzes

Week2

Week 2

2 hours to complete

Building fair models: theory and practice

2 hours to complete

5 videos (Total 21 min), 2 readings, 3 quizzes

Week3

Week 3

2 hours to complete

Human factors: minimizing bias in data

2 hours to complete

5 videos (Total 33 min), 2 readings, 3 quizzes

Reviews

4.8

17 reviews

5 stars
82.50%
4 stars
15%
3 stars
2.50%

TOP REVIEWS FROM ARTIFICIAL INTELLIGENCE DATA FAIRNESS AND BIAS

by DVFeb 27, 2023

Really appreciate given materials, especially good reading references!

by CMOct 2, 2021

An excellent reminder that the bias-variance trade-off is not the only trade-off machine learning specialists make.

by RUApr 19, 2022

Really great discussion of algorithms and how their designs make them susceptible to bias.

by SYMar 30, 2021

A relatively short and interesting course on data fairness and bias impacting AI models.

View all reviews

About the Ethics in the Age of AI Specialization

As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Artificial Intelligence Data Fairness and Bias

About this Course

Skills you will gain