This course is part of the Ethical Leadership Specialization

Kirsten Martin

Offered By

Ethical Leadership SpecializationThe University of Notre Dame

About this Course

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This course explores the ethical implications of data analytics.  It connects old ideas – privacy, surveillance, power, justice, accountability, corporate responsibility, stakeholder theory – with new technologies and cases, such as the use of machine learning to predict crime.  The course will prepare you to evaluate strategic arguments about the ethics of data analytics and to relate data analytics to ethical concepts so that you approach newer, ambiguous capabilities of technology and artificial intelligence with a critical eye.

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Course 3 of 6 in the

Ethical Leadership Specialization

Beginner Level

There is no particular recommended background. No prior knowledge is expected.

Approx. 16 hours to complete

English

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What you will learn

Examine the role and responsibilities of design and development in the ethics of data and analytics.
Analyze the ethical dimensions of data and analytics using conceptual tools and a moral vocabulary.
Categorize ethical issues associated with data analytics development and use.
Investigate the ethical dilemmas associated with data analytics.

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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 6 in the

Ethical Leadership Specialization

Beginner Level

There is no particular recommended background. No prior knowledge is expected.

Approx. 16 hours to complete

English

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

Try Coursera for Business

Instructor

Instructor rating

4.83/5 (6 Ratings)

Kirsten Martin

William P. and Hazel B. White Center Professor of Technology Ethics, IT, Analytics, and Operations

Mendoza College of Business

439 Learners

1 Course

Offered by

The University of Notre Dame

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Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

Technological Bias and Critical Theories

Welcome to Week 1 of the course!

This week, you will participate in a variety of learning experiences so that you can begin framing your awareness of the biases inherent in technology. First, you will view a welcome video from your instructor. Then, your instructor will introduce you to this week’s topic. You will review two case studies, complete two practice quizzes, and view your instructor’s analyses of the two case studies. Finally, you will wrap up the week by completing one multiple-choice quiz and one reflective quiz so that you can apply the ethical theories you learn about this week to morally evaluate technology biases or preferences.

4 hours to complete

5 videos (Total 21 min), 10 readings, 4 quizzes

5 videos

Welcome to the Course!1mTechnological Biases7mAnalysis of “The Secret Bias Hidden in Mortgage-Approval Algorithms”2mEthical Theories and Technology7mAnalysis of “Amazon Is Using Algorithms With Little Human Intervention to Fire Flex Workers”3m

10 readings

Welcome2mCourse Overview and Requirements7mMeet Your Instructor2mNetiquette2mIntroduction to Technological Biases2m“The Secret Bias Hidden in Mortgage-Approval Algorithms”45mIntroduction to Ethical Theories and Technology2m“Amazon Is Using Algorithms With Little Human Intervention to Fire Flex Workers”10mWeek 1 Summary2mWeek 1: Next Steps2m

4 practice exercises

Lesson 1.110mLesson 1.210mLesson 1.325mLesson 1.3 Reflection2h

Week2

Week 2

4 hours to complete

Privacy and Surveillance

4 hours to complete

4 videos (Total 19 min), 6 readings, 4 quizzes

4 videos

Theories of Privacy7mAnalysis of “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”2mTheories of Surveillance7mAnalysis of “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”1m

6 readings

Introduction to Theories of Privacy2m“There’s a Multibillion-Dollar Market for Your Phone’s Location Data”20mIntroduction to Theories of Surveillance2m“There’s a Multibillion-Dollar Market for Your Phone’s Location Data” 30mWeek 2 Summary2mWeek 2: Next Steps2m

4 practice exercises

Lesson 2.110mLesson 2.210mLesson 2.325mLesson 2.3 Reflection 2h

Week3

Week 3

4 hours to complete

Discrimination and Fairness

Welcome to Week 3 of the course!

4 hours to complete

4 videos (Total 18 min), 6 readings, 4 quizzes

4 videos

Technology and Discrimination6mAnalysis of “Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women”1mFairness and Justice: The COMPAS Case7mAnalysis of “Machine Bias”2m

6 readings

Introduction to Technology and Discrimination2m“Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women”8mIntroduction to Technology and Fairness2m“Machine Bias”25mWeek 3 Summary2mWeek 3: Next Steps2m

4 practice exercises

Lesson 3.1 10mLesson 3.210mLesson 3.325mLesson 3.3 Reflection 2h

Week4

Week 4

4 hours to complete

Measuring Accuracy and Offering Contestability

Welcome to Week 4 of the course! One of the primary purposes of technology design is to solve problems. So take a moment to consider a few global issues or problems that you would like to see (re)solved. Do other people share your interest in these issues? What role could technology play in solving these problems? How could the outcomes achieved by a technological intervention (to solve these problems) be accurately measured?

4 hours to complete

5 videos (Total 19 min), 6 readings, 4 quizzes

5 videos

Artificial Intelligence and Mistakes8mAnalysis of “Pasco’s Sheriff Uses Grades and Abuse Histories to Label Schoolchildren Potential Criminals”1mContestability and Ethical Artificial Intelligence 6mAnalysis of “Cheating-Detection Companies Made Millions During the Pandemic. Now Students Are Fighting Back.”1mConclusion and Wrap-Up56s

6 readings

Introduction to Artificial Intelligence and the Mistakes It Makes2m“Pasco’s Sheriff Uses Grades and Abuse Histories to Label Schoolchildren Potential Criminals”30mThe Reasons Why Contestability Is Required for Ethical Artificial Intelligence2m“Cheating-Detection Companies Made Millions during the Pandemic. Now Students are Fighting Back.”20mWeek 4 Summary2mNext Steps2m

4 practice exercises

Lesson 4.110mLesson 4.210mLesson 4.325mLesson 4.3 Reflection 2h

About the Ethical Leadership Specialization

Welcome to the Specialization in Ethical Leadership! Over the course of a few months, we aim to help you understand how to “Grow the Good in Business” through leadership centered in personal integrity, conviction, and values. Corporate culture is often criticized for valuing short-term gains over long-term growth and concern for others. At Notre Dame, our approach integrates ethical, social, and environmental issues into traditional business courses. Our aim is to equip you with cross-functional intelligence, a balanced worldview, and a proper sense of moral purpose that can prepare you to contribute, cooperate, compete, and lead ethically in today’s rapidly changing business environment.

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.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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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