The course includes 12 theory sessions, conducted as interactive online sessions.
We introduce the main problems we will be dealing with during the course, and present different conceptualizations of these issues.
Instructor: Carlos Castillo.
We introduce ethical frameworks that are useful when studying the ethics of data processing.
Instructor: Migle Lautyke
We describe the regulation of data protection in Europe, focusing on data protection issues.
Instructor: Antoni Rubí Puig.
We present technologies for protecting privacy on data, with an emphasis on k-anonymity.
Instructor: Carlos Castillo
We describe the regulation of data protection in Europe, focusing on automated profiling and algorithmic decision making.
Instructor: Antoni Rubí-Puig
We analyze characteristics of datasets that might be problematic, introduce data feminism, and a framework to understand biases in social data processing.
Instructor: Carlos Castillo
We introduce metrics for algorithmic fairness in automated systems used for classification and prediction.
Instructor: Carlos Castillo
We introduce key conceptualizations around discrimination within a computer system.
Instructor: Migle Lautyke
We introduce metrics for algorithmic fairness in automated systems used for classification and prediction.
Instructor: Carlos Castillo
We study issues of bias and transparency in the context of information systems to rank people or items.
Instructor: Carlos Castillo