Epistemology, Ethics and Privacy
Lecture: Epistemology, Ethics and Privacy (EEP)
Lecturer
Lecture Objectives and Contents
Students know the typical epistemological, ethical, legal and technical requirements for data collection, storage, processing and sharing related to data science and artificial intelligence. The participants have the necessary methodological knowledge to formulate such requirements and to select, adapt and further develop organizational and technical measures for their implementation.
Epistemology
- Data, Knowledge, Evidence
- Statistical Reasoning & Probability
- Prediction & Causation
- Human and Artificial Intelligence
Ethics
- Privacy
- Bias & Fairness
- Research Ethics: Responsibility, Accountability & Integrity
Privacy
- Legal aspects of privacy
- Organizational Measures for privacy
- Generation of synthetic data
- Privacy measurement and metrics
- Anonymization and pseudonymization of data
- Access control and authorization
- Cryptographic protection of data
Course Organization and Availability
The course is regularly held in winter term. Course language is English. It is accompanied by a exercise/tutorial (Übung). All statements without warranty.