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Ethics of Technology

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

Ethics of Technology

Dieser Kurs ist Teil von Spezialisierung „Ethical Leadership“

Dozent: Kirsten Martin

2.797 bereits angemeldet

Bei enthalten

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4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

49 Bewertungen

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Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

49 Bewertungen

Stufe Anfänger

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Artificial Intelligence and Machine Learning (AI/ML)
Kategorie: Social Justice
Kategorie: Machine Learning
Kategorie: Predictive Analytics
Kategorie: Analytics
Kategorie: Artificial Intelligence
Kategorie: Information Privacy
Kategorie: Case Studies
Kategorie: Data Ethics
Kategorie: Business Ethics
Kategorie: Analytical Skills
Kategorie: Ethical Standards And Conduct
Kategorie: Responsible AI

Wichtige Details

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16 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

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Dieser Kurs ist Teil der Spezialisierung Spezialisierung „Ethical Leadership“

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In diesem Kurs gibt es 4 Module

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.

Moduldetails

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.

Das ist alles enthalten

5 Videos11 Lektüren4 Aufgaben

5 VideosInsgesamt 21 Minuten

Welcome to the Course!1 Minute
Technological Biases7 Minuten
Analysis of “The Secret Bias Hidden in Mortgage-Approval Algorithms”3 Minuten
Ethical Theories and Technology7 Minuten
Analysis of “Amazon Is Using Algorithms With Little Human Intervention to Fire Flex Workers”3 Minuten

11 LektürenInsgesamt 81 Minuten

Welcome2 Minuten
Course Overview and Requirements7 Minuten
Meet Your Instructor2 Minuten
Netiquette2 Minuten
Get help and meet other learners. Join your Community!5 Minuten
Introduction to Technological Biases2 Minuten
“The Secret Bias Hidden in Mortgage-Approval Algorithms”45 Minuten
Introduction to Ethical Theories and Technology2 Minuten
“Amazon Is Using Algorithms With Little Human Intervention to Fire Flex Workers”10 Minuten
Week 1 Summary2 Minuten
Week 1: Next Steps2 Minuten

4 AufgabenInsgesamt 165 Minuten

Lesson 1.325 Minuten
Lesson 1.3 Reflection120 Minuten
Lesson 1.110 Minuten
Lesson 1.210 Minuten

Welcome to Week 2 of the course! This week, you will examine theories of privacy and surveillance. You will also be given an opportunity to reflect upon how the design of technology contributes to violations of privacy and surveillance.

Das ist alles enthalten

4 Videos6 Lektüren4 Aufgaben

4 VideosInsgesamt 19 Minuten

Theories of Privacy8 Minuten
Analysis of “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”2 Minuten
Theories of Surveillance7 Minuten
Analysis of “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”2 Minuten

6 LektürenInsgesamt 58 Minuten

Introduction to Theories of Privacy2 Minuten
“There’s a Multibillion-Dollar Market for Your Phone’s Location Data”20 Minuten
Introduction to Theories of Surveillance2 Minuten
“There’s a Multibillion-Dollar Market for Your Phone’s Location Data” 30 Minuten
Week 2 Summary2 Minuten
Week 2: Next Steps2 Minuten

4 AufgabenInsgesamt 165 Minuten

Lesson 2.325 Minuten
Lesson 2.3 Reflection 120 Minuten
Lesson 2.110 Minuten
Lesson 2.210 Minuten

Welcome to Week 3 of the course! When an AI program decides if you are employable, can it discriminate? This week you will examine different theories of discrimination and fairness in data analytics, artificial intelligence, and machine learning. You will also review cases that depict how technology can discriminate so that you can consider how the technology design can impact and treat people differently.

Das ist alles enthalten

4 Videos6 Lektüren4 Aufgaben

4 VideosInsgesamt 18 Minuten

Technology and Discrimination7 Minuten
Analysis of “Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women”1 Minute
Fairness and Justice: The COMPAS Case7 Minuten
Analysis of “Machine Bias”2 Minuten

6 LektürenInsgesamt 41 Minuten

Introduction to Technology and Discrimination2 Minuten
“Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women”8 Minuten
Introduction to Technology and Fairness2 Minuten
“Machine Bias”25 Minuten
Week 3 Summary2 Minuten
Week 3: Next Steps2 Minuten

4 AufgabenInsgesamt 165 Minuten

Lesson 3.325 Minuten
Lesson 3.3 Reflection 120 Minuten
Lesson 3.1 10 Minuten
Lesson 3.210 Minuten

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? This week, you will delve into the heart of these issues by examining how technology can make mistakes and how we can think of holding people accountable for technology.

Das ist alles enthalten

5 Videos6 Lektüren4 Aufgaben

5 VideosInsgesamt 19 Minuten

Artificial Intelligence and Mistakes8 Minuten
Analysis of “Pasco’s Sheriff Uses Grades and Abuse Histories to Label Schoolchildren Potential Criminals”2 Minuten
Contestability and Ethical Artificial Intelligence 6 Minuten
Analysis of “Cheating-Detection Companies Made Millions During the Pandemic. Now Students Are Fighting Back.”2 Minuten
Conclusion and Wrap-Up1 Minute

6 LektürenInsgesamt 58 Minuten

Introduction to Artificial Intelligence and the Mistakes It Makes2 Minuten
“Pasco’s Sheriff Uses Grades and Abuse Histories to Label Schoolchildren Potential Criminals”30 Minuten
The Reasons Why Contestability Is Required for Ethical Artificial Intelligence2 Minuten
“Cheating-Detection Companies Made Millions during the Pandemic. Now Students are Fighting Back.”20 Minuten
Week 4 Summary2 Minuten
Next Steps2 Minuten