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This course is intended to introduce data privacy to a broad audience and assist each participant in understanding how data privacy has evolved as a compelling concern for both public and private organisations, as well as individuals. In this course, you will hear from legal and technical experts as well as practitioners who deal with data privacy issues on a daily basis. This course will examine data privacy theories as well as data privacy in the context of social media and artificial intelligence. It will also investigate issues of data privacy in journalism, surveillance, and new technologies such as facial recognition and biometrics. The completion of the course qualifies the participant for CPE credit.
Syllabus :
1. Privacy in the Digital Age
- Course Introduction
- Lesson 1: Why Does Privacy Matter
- Lesson 2: The History of Privacy
- Data Privacy and Information Ethics: Kay Mathiesen
- Lesson 3: Defining Privacy
- Data Privacy Goods: Evan Selinger
- Lesson 4: Control Over Personal Information
- Transparency and Encryption: Christo Wilson1
2. Risks in Data Privacy
- Protecting Privacy
- Personalization, Algorithms and Machine Learning: Alan Mislove
- Privacy Threats
- Lesson 3: Internet of Things
- Exploring the Internet of Things Lab: Dave Chofness
- Lesson 4: Artificial Intelligence
3. Frameworks of Data Privacy Law
- Privacy in the Media
- Privacy in Surveillance
- Privacy in Data
- Privacy Around the World
- Data Protection in Health Care with Michelle Anderson
- Privacy and Information Law with Neil Richards
- Privacy Around the World: Chris Hart
- Course Conclusion
