Prof. Dr. Felix Naumann

Paint it Black - Ethical Data Analysis


Any technology, while advancing knowledge and capabilities of society, can simultaneously be misused. Together, we will explore the potential of misusing recent advances in computer sciences, and more specifically in information management. The core idea of the seminar is to systematically analyze all published papers of several 2019 computer science conference proceedings, examining the presented technology, the use-cases, the datasets and the conducted experiments. Based on the insights we will develop a classification of possibly misuses and categorize the articles accordingly. In addition, we will design and categorize possible remedies to address ethical problems in scientific papers and scientific output. We will jointly write a corresponding report of our findings, insights and ideas.


This seminar is open for six bachelor-student and six master-students to for six mixed teams. Each team will have different tasks throughout the semester.

While the planning is not complete, we plan to have sessions on the following topics 

  1. Introduction, organisational stuff, grading, motivation
  2. Student teams give 5min statements about prepared topics (based on papers / movements / initiatives)

    • Ethics, algorithmic bias, fairness, reproducibility, privacy, legal matters, etc.

  3. All: categorize/classify types and degrees of problems / misuse

    • What could go wrong

  4. Each team presents one (historical) instance where research led to problematic use
  5. Each team presents selected papers from one proceedings and classifies them according to our misuse-potential classes

    • Including best and worst cases

  6. Each team presents ALL use cases mentioned in their papers
  7. Each team presents ALL datasets used for evaluation in their papers
  8. Each team presents a technical idea to prevent misuse


Das Seminar findet einmal wöchentlich statt: ??? 17:00 - 18:30 in Raum F-2.11, Campus II, Haus F

Der folgende Ablaufplan ist vorläufig:

Datum Thema
09.04. Einführung
16.04. Seminarauswahl