LearnQuest
Artificial Intelligence Data Fairness and Bias
LearnQuest

Artificial Intelligence Data Fairness and Bias

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

Taught in English

Some content may not be translated

Brent Summers

Instructor: Brent Summers

6,676 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.8

(92 reviews)

Beginner level
No prior experience required
6 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(92 reviews)

Beginner level
No prior experience required
6 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 3 modules in this course

Welcome to the course! In week one, we will be discussing what fairness means in the context of machine learning and what true parity means in different scenarios

What's included

5 videos2 readings3 quizzes2 discussion prompts

This week we will take action against unfairness. Now that we have an understanding of fairness issues, how do we build models that do not violate them?

What's included

5 videos2 readings3 quizzes1 discussion prompt

This week, we will tackle the human biases that enter the data collection and attribute selection processes. The goal? Removing bias before the model is built

What's included

5 videos2 readings3 quizzes1 discussion prompt

Instructor

Instructor ratings
4.6 (28 ratings)
Brent Summers
LearnQuest
7 Courses20,050 learners

Offered by

LearnQuest

Recommended if you're interested in Algorithms

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 92

4.8

92 reviews

  • 5 stars

    79.34%

  • 4 stars

    16.30%

  • 3 stars

    4.34%

  • 2 stars

    0%

  • 1 star

    0%

AV
5

Reviewed on Jan 14, 2021

CM
4

Reviewed on Oct 2, 2021

SY
5

Reviewed on Mar 30, 2021

New to Algorithms? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions