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Ethics of Technology · LearnSpace
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Ethics of Technology

Курс от The University of Notre Dame
Начальный≈ 16.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Data EthicsInformation PrivacyResponsible AITechnical DesignEthical Standards And ConductBusiness EthicsMachine LearningAI literacyAnalyticsArtificial IntelligenceAnalytical SkillsPredictive AnalyticsCase StudiesSocial Justice

Программа курса

4 модулей · 63 учебных материалов

01Technological Bias and Critical Theories20 материалов

Welcome

Welcome to the Course!ВидеоWelcomeЧтениеCourse Overview and RequirementsЧтениеMeet Your InstructorЧтение

Учитесь у экспертов

Kirsten Martin

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

Ethics of Technology
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Обучение на Coursera

≈ 16.3 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Вьетнамский, Корейский, Испанский, Японский

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NetiquetteЧтение
Get help and meet other learners. Join your Community!Чтение

Lesson 1.1 | Technological Biases

Introduction to Technological BiasesЧтениеTechnological BiasesВидео“The Secret Bias Hidden in Mortgage-Approval Algorithms”ЧтениеLesson 1.1ЗаданиеAnalysis of “The Secret Bias Hidden in Mortgage-Approval Algorithms”Видео

Lesson 1.2 | Ethical Theories and Technology

Introduction to Ethical Theories and TechnologyЧтениеEthical Theories and TechnologyВидео“Amazon Is Using Algorithms With Little Human Intervention to Fire Flex Workers”ЧтениеLesson 1.2ЗаданиеAnalysis of “Amazon Is Using Algorithms With Little Human Intervention to Fire Flex Workers”Видео

Lesson 1.3 | Week 1 Summary

Week 1 SummaryЧтениеLesson 1.3ЗаданиеLesson 1.3 ReflectionЗаданиеWeek 1: Next StepsЧтение
02Privacy and Surveillance14 материалов

Lesson 2.1 | Theories of Privacy

Introduction to Theories of PrivacyЧтениеTheories of PrivacyВидео“There’s a Multibillion-Dollar Market for Your Phone’s Location Data”ЧтениеLesson 2.1ЗаданиеAnalysis of “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”Видео

Lesson 2.2 | Theories of Surveillance

Introduction to Theories of SurveillanceЧтениеTheories of SurveillanceВидео“There’s a Multibillion-Dollar Market for Your Phone’s Location Data” ЧтениеLesson 2.2ЗаданиеAnalysis of “There’s a Multibillion-Dollar Market for Your Phone’s Location Data”Видео

Lesson 2.3 | Week 2 Summary

Week 2 SummaryЧтениеLesson 2.3ЗаданиеLesson 2.3 Reflection ЗаданиеWeek 2: Next StepsЧтение
03Discrimination and Fairness14 материалов

Lesson 3.1 | Technology and Discrimination

Introduction to Technology and DiscriminationЧтениеTechnology and DiscriminationВидео“Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women”ЧтениеLesson 3.1 ЗаданиеAnalysis of “Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women”Видео

Lesson 3.2 | Technology and Fairness

Introduction to Technology and FairnessЧтениеFairness and Justice: The COMPAS CaseВидео“Machine Bias”ЧтениеLesson 3.2ЗаданиеAnalysis of “Machine Bias”Видео

Lesson 3.3 | Week 3 Summary

Week 3 SummaryЧтениеLesson 3.3ЗаданиеLesson 3.3 Reflection ЗаданиеWeek 3: Next StepsЧтение
04Measuring Accuracy and Offering Contestability15 материалов

Lesson 4.1 | Artificial Intelligence and Mistakes It Makes

Introduction to Artificial Intelligence and the Mistakes It MakesЧтениеArtificial Intelligence and MistakesВидео“Pasco’s Sheriff Uses Grades and Abuse Histories to Label Schoolchildren Potential Criminals”ЧтениеLesson 4.1ЗаданиеAnalysis of “Pasco’s Sheriff Uses Grades and Abuse Histories to Label Schoolchildren Potential Criminals”Видео

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

The Reasons Why Contestability Is Required for Ethical Artificial IntelligenceЧтениеContestability and Ethical Artificial Intelligence Видео“Cheating-Detection Companies Made Millions during the Pandemic. Now Students are Fighting Back.”ЧтениеLesson 4.2ЗаданиеAnalysis of “Cheating-Detection Companies Made Millions During the Pandemic. Now Students Are Fighting Back.”Видео

Lesson 4.3 | Week 4 Summary

Week 4 SummaryЧтениеLesson 4.3ЗаданиеLesson 4.3 Reflection ЗаданиеConclusion and Wrap-UpВидеоNext StepsЧтение