Monthly Subscription Starting at AED 99 + VAT

Ethics of Technology
  • Level Foundation
  • Duration 16 hours
  • Course by The University of Notre Dame
  • Offered by

About

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.

Modules

Welcome

    • 1 Videos
    • 5 Readings
Show info about module content

1 Videos

  • Welcome to the Course!

5 Readings

  • Welcome
  • Course Overview and Requirements
  • Meet Your Instructor
  • Netiquette
  • Get help and meet other learners. Join your Community!

Lesson 1.1 | Technological Biases

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

1 Assignment

  • Lesson 1.1

2 Videos

  • Technological Biases
  • Analysis of “The Secret Bias Hidden in Mortgage-Approval Algorithms”

2 Readings

  • Introduction to Technological Biases
  • “The Secret Bias Hidden in Mortgage-Approval Algorithms”

Lesson 1.2 | Ethical Theories and Technology

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

1 Assignment

  • Lesson 1.2

2 Videos

  • Ethical Theories and Technology
  • Analysis of “Amazon Is Using Algorithms With Little Human Intervention to Fire Flex Workers”

2 Readings

  • Introduction to Ethical Theories and Technology
  • “Amazon Is Using Algorithms With Little Human Intervention to Fire Flex Workers”

Lesson 1.3 | Week 1 Summary

    • 2 Readings
    • 2 Assignment
Show info about module content

2 Assignment

  • Lesson 1.3
  • Lesson 1.3 Reflection

2 Readings

  • Week 1 Summary
  • Week 1: Next Steps

Lesson 2.1 | Theories of Privacy

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

1 Assignment

  • Lesson 2.1

2 Videos

  • Theories of Privacy
  • Analysis of “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”

2 Readings

  • Introduction to Theories of Privacy
  • “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”

Lesson 2.2 | Theories of Surveillance

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

1 Assignment

  • Lesson 2.2

2 Videos

  • Theories of Surveillance
  • Analysis of “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”

2 Readings

  • Introduction to Theories of Surveillance
  • “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”

Lesson 2.3 | Week 2 Summary

    • 2 Readings
    • 2 Assignment
Show info about module content

2 Assignment

  • Lesson 2.3
  • Lesson 2.3 Reflection

2 Readings

  • Week 2 Summary
  • Week 2: Next Steps

Lesson 3.1 | Technology and Discrimination

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

1 Assignment

  • Lesson 3.1

2 Videos

  • Technology and Discrimination
  • Analysis of “Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women”

2 Readings

  • Introduction to Technology and Discrimination
  • “Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women”

Lesson 3.2 | Technology and Fairness

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

1 Assignment

  • Lesson 3.2

2 Videos

  • Fairness and Justice: The COMPAS Case
  • Analysis of “Machine Bias”

2 Readings

  • Introduction to Technology and Fairness
  • “Machine Bias”

Lesson 3.3 | Week 3 Summary

    • 2 Readings
    • 2 Assignment
Show info about module content

2 Assignment

  • Lesson 3.3
  • Lesson 3.3 Reflection

2 Readings

  • Week 3 Summary
  • Week 3: Next Steps

Lesson 4.1 | Artificial Intelligence and Mistakes It Makes

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

1 Assignment

  • Lesson 4.1

2 Videos

  • Artificial Intelligence and Mistakes
  • Analysis of “Pasco’s Sheriff Uses Grades and Abuse Histories to Label Schoolchildren Potential Criminals”

2 Readings

  • Introduction to Artificial Intelligence and the Mistakes It Makes
  • “Pasco’s Sheriff Uses Grades and Abuse Histories to Label Schoolchildren Potential Criminals”

Lesson 4.2 | The Reasons Why Contestability Is Required for Ethical Artificial Intelligence

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

1 Assignment

  • Lesson 4.2

2 Videos

  • Contestability and Ethical Artificial Intelligence
  • Analysis of “Cheating-Detection Companies Made Millions During the Pandemic. Now Students Are Fighting Back.”

2 Readings

  • The Reasons Why Contestability Is Required for Ethical Artificial Intelligence
  • “Cheating-Detection Companies Made Millions during the Pandemic. Now Students are Fighting Back.”

Lesson 4.3 | Week 4 Summary

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

2 Assignment

  • Lesson 4.3
  • Lesson 4.3 Reflection

1 Videos

  • Conclusion and Wrap-Up

2 Readings

  • Week 4 Summary
  • Next Steps

Auto Summary

The "Ethics of Technology" course delves into the ethical aspects of data analytics within the Business & Management domain. Led by Coursera, it examines concepts like privacy, surveillance, and corporate responsibility in the context of modern technologies, including AI and machine learning. Over a span of 960 minutes, learners will gain the skills to critically assess the ethical dimensions of data analytics. Subscription options include Starter and Professional tiers, making it suitable for foundational-level participants aiming to navigate the ethical landscape of technology.

Kirsten Martin
Instructor

Kirsten Martin