
of basic notions and principles concerning bias and discrimination in big data and algorithmic processing Focus Points • Human biases and computer biases
• Alternative measures of statistical fairness
• Debiasing strategies and affirmative action
• Justification and discrimination Additional Project (Supported by VolkswagenStiftung) Digital Contact Tracing, Privacy, and Discrimination: On the Ethics of Fighting Corona

• Consumer, competition and anti-discrimination law


• Statistical fairness, esp. for non-stationary data
• Debiasing strategies, esp. focusing on explainability