NoBias – Artificial Intelligence without bias

Bias Mitigation in Ranking methods – project GESIS-2

Team: Antonio Ferrara
Leader: Prof. Claudia Wagner, Dr. Fariba Karimi (in Abwesenheit von Prof. Wagner)
Scientific unit: Computational Social Science - Artificial intelligence


Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and anytime entailing risks, such as being denied a credit, a job, a medical treatment, or specific news. Businesses might miss chances, because biases make AI-driven decisions underperform; much worse, they may contravene human rights when treating people unfairly.

Bias may arise at all stages of AI-based decision making processes: (i) when data is collected, (ii) when algorithms turn data into decision making capacity, or (iii) when results of decision making are used in applications. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in the training, design and deployment of AI algorithms to ensure social good while still benefiting from the potential of AI.

NoBias will develop novel methods for AI-based decision making without bias by taking into account ethical and legal considerations in the design of technical solutions. The core objectives of NoBIAS are to understand legal, social and technical challenges of bias in AI-decision making, to counter them by developing fairness-aware algorithms, to automatically explain AI results, and to document the overall process for data provenance and transparency.

The NoBias project will train a cohort of 15 ESRs (Early-Stage Researchers) to address problems with bias through multi-disciplinary training and research in computer science, data science, machine learning, law and social science. ESRs will acquire practical expertise in a variety of sectors from telecommunication, finance, marketing, media, software, and legal consultancy to broadly foster legal compliance and innovation. Technical, interdisciplinary and soft-skills will give ESRs a head start towards future leadership in industry, academia, or government.


01.01.2020 – 31.12.2023

Sponsored by

The project is founded by European Union´s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 860630



Leibniz University Hannover, L3S Research Center (LUH – L3S)

  • Prof. Eirini Ntoutsi
  • Prof. Wolfgang Nejdl
  • Prof. Maria-Esther Vidal
  • Prof. Sören Auer
  • Dr. Pavlos Fafalios


Leibniz University Hannover, Institute for Legal Informatics (LUH – IRI)

  • Prof. Dr. Christian Heinze
  • Prof. Dr. Tina Krügel


GESIS-Leibniz Institute for the Social Sciences (GESIS)

  • Prof. Dr. Claudia Wagner
  • Dr. Katharina Kinder Kurlanda
  • Prof. Alexia Katsanidou
  • Dr. Fariba Karimi


SCHUFA Holding AG, Innovation and Strategic Analysis (SCHUFA)

  • Dr. Klaus Broelemann
  • Dr. Gjergji Kasneci


Centre for Research and Technology Hellas, Information Technologies Institute (CERTH)

  • Yiannis Kompatsiaris
  • Dr. Spiros Nikolopoulos
  • Dr. Symeon Papadopoulos


Università di Pisa, Knowledge Discovery from Data Laboratory (UNIPI)

  • Prof. Salvatore Ruggieri
  • Prof. Franco Turini
  • Prof. Dino Pedreschi


Open University, Knowledge Media Institute (OU)

  • Prof. Dr. Harith Alani
  • Dr. Miriam Fernandez


University of Southampton, Electronics and Computer Science (SOTON – ECS)

  • Prof Dame Wendy Hall
  • Dr Thanassis Tiropanis
  • Prof. Dr. Steffen Staab