This course explores the ethical implications of data analytics. It connects old ideas 鈥� privacy, surveillance, power, justice, accountability, corporate responsibility, stakeholder theory 鈥� 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.
Theories of Privacy
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Skills You'll Learn
Analytics, Law, Regulation, and Compliance, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Data Ethics, Predictive Analytics, Business Ethics, Social Justice, Information Privacy, Ethical Standards And Conduct
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From the lesson
Privacy and Surveillance
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.
Taught By
Kirsten Martin
William P. and Hazel B. White Center Professor of Technology Ethics, IT, Analytics, and Operations