Online Module: Data Ethics
Topics of this Online Module:
- Data Ownership
- Privacy
- Anonymity
- Data Validity
- Algorithmic Fairness
Videos of this Online Module
I. Video - What are Ethics?
Topics covered in this video:
- Importance of Data Ethics
- Definition of Ethics
- Ethical Fundamentals
- Economic Value of Rules
- Data Science needs Ethics
- Human Subjects Research
Slides of this Video (in PDF)
II. Video - Data Ownership
Topics covered in this video:
- Data Ownership
- Unflattering Photos
- Intellectual Property
- Data Collection and Curation
- Use of Data
- Limits on Recording
- Video Cameras in Stores
- Cellphone Location Tracking
Slides of this Video (in PDF)
III. Video - Privacy
Topics covered in this video:
- What is Privacy?
- Personalized Advertising
- Voluntary Disclosure
- Right to be Forgotten
- Collection versus Use of Data
- Data Brokers
- Mobile Apps
Slides of this Video (in PDF)
IV. Video - Anonymity
Topics covered in this video:
- Fake Profiles
- Re-identification
- Types of Leakage
- Anonymity is Impossible
- License Data to Trusted Parties
Slides of this Video (in PDF)
V. Video - Data Validity
Topics covered in this video:
- Validity
- Poor Data in Organizations
- Different Types of Error Sources
- Sample Representativeness
- Errors in Data
- Attributes and Measures
- Errors in Data Processing
- Errors in Model Design
Slides of this Video (in PDF)
VI. Video - Algorithmic Fairness
Topics covered in this video:
- Algorithmic Fairness
- A Vicious Algorithmic Cycle
- Bad Analysis from Good Data
- Correlated Attributes
- Correct but Misleading Results
- P-Hacking
Slides of this Video (in PDF)
All Slides Presented in All Videos (combined together)
Here you can download the slides, which were introduced, explained and presented in the videos of this online module about Data Ethics.- Slides: Data Ethics (PDF)
Legal Disclaimer
Module recordings are made for the benefit of students to have access to the course content regardless of geographic location. Any personal recording or other non-academic use of these sessions is strictly prohibited. The recordings may not be shared, copied or redistributed without the explicit permission of the instructor. Forwarding, uploading to YouTube or other platforms or commercial distribution is strictly prohibited and will be prosecuted. Similarly, the accompanying slides are developed to illustrate the course content and made solely for the convenience of students. They may not be shared, copied or redistributed without the explicit permission of Prof. Dr. Florian Stahl.