Projekt

AI techniques based on big data and algorithmic processing are increasingly used to guide decisions in important societal spheres, including hiring decisions, university admissions, loan granting, and crime prediction. They are applied by search engines, Internet recommendation systems and social media bots, influencing our perceptions of political developments and even of scientific findings. However, there are growing concerns with regard to the epistemic and normative quality of AI evaluations and predictions. In particular, there is strong evidence that algorithms may sometimes amplify rather than eliminate existing bias and discrimination, and thereby have negative effects on social cohesion and on democratic institutions. The project aims for a comprehensive understanding of how pertinent concepts of bias or discrimination should be interpreted in the context of AI and which technical options to combat bias and discrimination are both realistically possible and normatively justified. The research group "BIAS" will examine these issues in an integrated, interdisciplinary project bringing together experts from philosophy, law, and computer science.

• Prof. Dr. Dietmar Hübner

  Universität Hannover
  Philosophische Fakultät
  Institut für Philosophie
  Hinterhaus
  Hannover
  

• Prof. Dr. Margrit Seckelmann

  Universität Hannover
  Institut für Rechtsinformatik
  Hannover
  

• Prof. Dr. Eirini Ntoutsi, EngD

  Universität Hannover
  Forschungszentrum L3S
  Hannover
  

• Prof. Dr. Wolfgang Nejdl

  Universität Hannover
  Fakultät für Elektrotechnik und Informatik
  Forschungszentrum L3S
  Hannover
  

• Prof. Dr. Christian Heinze

  Universität Hannover
  Juristische Fakultät
  Institut für Rechtsinformatik
  Hannover
  

• Prof. Dr.-Ing. Bodo Rosenhahn

  Universität Hannover
  Fachbereich Elektrotechnik und Informatik
  Automatische Bildinterpretation
  Hannover
  

• Prof. Dr. Mathias Frisch

  Universität Hannover
  Philosophische Fakultät
  Institut für Philosophie
  Professur für theoretische Philosophie,
  insbesondere Wissenschaftsphilosophie
  Hannover
  

• Prof. Dr. Uljana Feest

  Universität Hannover
  Philosophische Fakultät
  Institut für Philosophie
  Hannover
  

• Automatisierte Kreditwürdigkeitsprüfung

• Parity-based cumulative fairness-aware boosting

• A survey on datasets for fairness-aware machine learning

• When Is Lockdown Justified?