Leibniz University of Hannover

Ioanna Papageorgiou

Leibniz Universität Hannover – Learning Lab Lower Saxony (L3S) and
Institut für Rechtsinformatik (IRI)

Legal issues of mitigating bias at a national and EU level


		

Mayra Russo Botero

Leibniz Universität Hannover – Learning Lab Lower Saxony (L3S) and
Technische Informationsbibliothek

Documenting Bias in Data through ontologies


		
University of Klagenfurt

Miriam Fahimi

Digital Age Research Centre

The social and technical networks of bias generation


		
GESIS Leibniz Institut für Sozialwissenschaften

Antonio Ferrara

GESIS – Leibniz Institute for the Social Sciences

Bias mitigation in ranking methods


		
SCHUFA

Xuan Zhao

SCHUFA, Wiesbaden, Germany

Explaining white-model predictions


		
CERTH - The Centre for Research & Technology, Hellas

Simone Fabbrizzi

Centre for Research and Technology Hellas

CERTH-1 Discovering and Quantifying Bias


		
University of Pisa

Jose Manuel Alvarez

University of Pisa

UNIPI-1: Causality analysis of data for domain-specific bias understanding

Laura State

University of Pisa

UNIPI-2: Declarative explanation of black-box decisions
The Open University

Paula Reyero Lobo

Open University, United Kingdom

Knowledge Media Institute, The Open University, Walton Hall MK7 6AA
Data enrichment for mitigating bias

 

University of Southampton
KU LEUVEN

Kristen Marie Scott

KU Leuven, Belgium
Celestijnenlaan 200a – box 2402, 3001 Leuven, BE

Discovering biased representations of people