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Ethical Issues in Data Science
  • Level Foundation
  • المدة 24 ساعات hours
  • الطبع بواسطة University of Colorado Boulder
  • Offered by

عن

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning. This course examines some of the ethical issues related to data science, with the fundamental objective of making data science professionals aware of and sensitive to ethical considerations that may arise in their careers. It does this through a combination of discussion of ethical frameworks, examination of a variety of data science applications that lead to ethical considerations, reading current media and scholarly articles, and drawing upon the perspectives and experiences of fellow students and computing professionals. Ethical Issues in Data Science can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

الوحدات

Course Overview

    • 2 Videos
    • 5 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Introduce Yourself!

2 Videos

  • Introduction to Ethical Issues in Data Science: Part 1
  • Introduction to Ethical Issues in Data Science: Part 2

5 Readings

  • Earn Academic Credit for your Work!
  • Course Support
  • Assessment Expectations
  • A Note About Reading Assignments
  • Ethics Overview

Ethical Foundations

    • 2 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Find a Fellow Student Online

2 Videos

  • Ethical Foundations I
  • Ethical Foundations II

1 Readings

  • Ethical Foundations Readings

Review and Reflect

    • 1 Videos
    • 1 Discussion
    • 1 Quiz
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1 Discussions

  • Analyze a Case Study

1 Videos

  • Week 1: Review and Reflect

1 Quiz

  • Ethical Foundations

The Internet and Implications for Privacy and Security

    • 1 Videos
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1 Videos

  • Internet Background and Implications for Privacy and Security

Privacy and the Right to Be Forgotten

    • 2 Videos
    • 1 Readings
    • 2 Discussion
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2 Discussions

  • Recommender Systems
  • The Right to Be Forgotten

2 Videos

  • Privacy: Part 1
  • Privacy: Part 2

1 Readings

  • Privacy and the Right to Be Forgotten Readings

Security and Security Breaches

    • 2 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

2 Videos

  • Security, Causes and Types of Breaches: Part 1
  • Security, Causes and Types of Breaches: Part 2

1 Readings

  • Security and Security Breaches Readings

1 Quiz

  • Security and Security Breaches

Review and Reflect

    • 1 PeerReview
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1 Peer Review

  • Read an Article and Write a Report

Professional Society Codes of Ethics

    • 1 Videos
    • 1 Readings
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1 Videos

  • Professional Society Codes of Ethics

1 Readings

  • Professional Society Codes of Ethics Readings

Contemporary Ethical Issues from Tech Companies

    • 2 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Comment on Two Articles

2 Videos

  • Contemporary Ethical Issues from Tech Companies: Part 1
  • Contemporary Ethical Issues from Tech Companies: Part 2

1 Readings

  • Contemporary Ethical Issues from Tech Companies Readings

Experiences from the Field

    • 1 Videos
    • 1 PeerReview
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1 Peer Review

  • Interview a Data Science Professional

1 Videos

  • Sharing Experiences of Data Science / Computing Professionals

Review and Reflect

    • 1 Quiz
Show info about module content

1 Quiz

  • Professional Ethics

Perspectives on Algorithmic Bias

    • 2 Videos
    • 1 Readings
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2 Videos

  • Perspectives on Algorithmic Bias: Part 1
  • Perspectives on Algorithmic Bias: Part 2

1 Readings

  • Algorithmic Bias Readings

Algorithmic Bias Related to Gender and Race

    • 2 Videos
    • 1 Readings
    • 1 PeerReview
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1 Peer Review

  • Read an Article and Write a Report

2 Videos

  • Algorithmic Bias Related to Gender and Race: Part 1
  • Algorithmic Bias Related to Gender and Race: Part 2

1 Readings

  • Algorithmic Bias Related to Gender and Race Readings

Facial Recognition

    • 2 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Facial Recognition

2 Videos

  • Facial Recognition: Part 1
  • Facial Recognition: Part 2

1 Readings

  • Facial Recognition Readings

Review and Reflect

    • 1 Quiz
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1 Quiz

  • Algorithmic Bias and Facial Recognition

Data Science in Health Care

    • 2 Videos
    • 1 Readings
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2 Videos

  • Data Science in Health Care: Part 1
  • Data Science in Health Care: Part 2

1 Readings

  • Data Science in Health Care Readings

Gene Editing and Neurological Interventions

    • 2 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Gene Editing and Neurological Interventions

2 Videos

  • Gene Editing and Neurological Interventions: Part 1
  • Gene Editing and Neurological Interventions: Part 2

1 Readings

  • Gene Editing and Neurological Interventions Readings

The Future of Work

    • 2 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • The Future of Work

2 Videos

  • The Future of Work: Part 1
  • The Future of Work: Part 2

1 Readings

  • The Future of Work Readings

Review and Reflect

    • 1 PeerReview
Show info about module content

1 Peer Review

  • Read an Article and Write a Report

Feedback

    • 1 Discussion
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1 Discussions

  • What Did You Think of the Course?

Auto Summary

Explore the ethical dimensions of data science with this foundational course, led by Coursera in collaboration with CU Boulder's esteemed faculty. Dive into ethical frameworks, real-world applications, and critical discussions to become a conscientious data science professional. This 1440-minute course is part of the MS-DS degree and offers flexible subscription options, catering to learners from various educational and professional backgrounds in computer science, information science, and related fields. Join now to enhance your ethical awareness and sensitivity in the realm of data science.

Bobby Schnabel
Instructor

Bobby Schnabel