FATE: Fairness, Accountability And Transparency In Data Processing

 

This Learning Unit is based on a course that was offered in Jan-Mar 2021 and will be offered again in Jan-Mar 2022. The course focuses on three key issues in data processing, addressed from an ethical, legal, and technological perspective:

  1. Personal data processing: privacy, confidentiality, surveillance, recourse, data collection, and power differentials;
  2. Data-driven decision support: biases and transparency in data processing, data-rich communication, and data visualization;
  3. Automated decision making: conceptualizations of power and discrimination in scenarios with different degrees of automation.

We spend about half of the course studying computing technologies for, e.g., anonymizing data, or detecting and mitigating algorithmic bias. The other half of the course we will
study different conceptualizations of power around data processing pipelines, analyse bias and discrimination in computer systems from a moral philosophy perspective, and overview the relevant legal frameworks for data processing.

Learning Community Activities

Coming up
coming soon
Past activities
  

How to get involved?

(Students and educators)
Contact the EUTOPIA curriculum team: Jo Angouri (J.Angouri@warwick.ac.uk) and Karen Triquet (karen.triquet@vub.be).

Learning Community Members

Lead: Carlos Castillo (UPF). Email: carlos.castillo@upf.edu 

coming soon

Partner: Gloria González Fuster  (VUB). Email: Gloria.Gonzalez.Fuster@vub.be

Prof. Dr. Gloria González Fuster is a Research Professor at the Vrije Universiteit Brussel (VUB)’s Faculty of Law and Criminology, and Co-Director of the Law, Science, Technology and Society (LSTS) Research Group. She holds a BOF research position on the theme ‘Digitalisation & a Europe of rights and freedoms’ (since October 2021), teaches ‘Privacy and data protection law‘, and coordinates the course ‘Bruxelles: La ville et le droit’. Additionally, she lectures on data protection law at the LL.M. in European and Transnational Law of Intellectual Property and Information Technology of Georg-August-Universität Göttingen.
She is currently contributing to the projects Articulating Law, Technology, Ethics and Politics: Issues of Enforcement and Jurisdiction of EU Data Protection Law under and beyond the General Data Protection Regulation (ALTEP-DP) (SRP project), Autonomy through Cyberjustice Technologies (ACT), and ‘La implementación del RGPD en España: El impacto de las cláusulas abiertas en la nueva LOPD, en su normativa de desarrollo y en la legislación sectorial’ (PRODATIES) (RTI2018-095367-B-I00), as well as the Legality Attentive Data Scientists (LEADS) MSCA Innovative Training Network.
González Fuster is member of the Content Committee of the Privacy Camp. She is also a member of the Steering Committee of the Data Protection Law Scholars Network (DPSN), of RHEA (VUB’s research centre on Gender, Diversity and Intersectionality) and the Brussels Centre for Urban Studies (BCUS), and member of the Brussels Privacy Hub (BPH), in addition to being a member of the Advisory Board of the Privacy Salon and of the dpialab, as well as member of the Steering Committee of the Cyber & Data Security Lab (CDSL).
She is Associate Editor at the European Data Protection Law Review (EDPL), Lexxion, and Member of the Board of Editors of the Information, Technology and Law Series, Asser Press, Springer.
She is also a member of the European Commission’s Multistakeholder Expert Group to support the application of the General Data Protection Regulation (GDPR), designated as academic expert.
More information: https://glgonzalezfuster.blog/,
Twitter: @FusterGloria

Partner: Liana-Maria Stanca (UBB). Email: liana.stanca@ubbcluj.ro

Liana-Maria Stanca, Ph.D., Associate Professor: I have been a member of the Economic Informatics Department at the Faculty of Economics and Business Administration, Babeș-Bolyai University, since 2005. My teaching and research activity are focused on Economic Informatics Systems, more specifically on Data Analysis and Computing in Economics, as well as on promoting ICT integration in order to enhance teaching/learning excellence in the educational sphere. I am a firm believer in and promoter of the usefulness of modern teaching methods such as discovery-led active and collaborative learning, thus supporting the so-called “21st century learning skills”: creativity, critical thinking, collaboration, as well as problem-solving abilities. Therefore, I believe that my role is that of continuously and systematically identifying the international tendencies of improving the curriculum for Economic Informatics Systems. I am concerned with assimilating these tendencies in order to facilitate my students’ integration in the national and international workforce. As a result, I have recently studied and applied new forms of the Big Data and Data Visualisation domains, as well as models of decision and optimization, simulation and calculus methods and social media. Hence, my research interests are learning analytics, machine learning and neural networks. Through my research (published in around 88 journals and conference proceedings), I have acquired a broad understanding of the fundamental problems in these fields.
My motivation is driven by the wish to extend the focus on law or social sciences and the humanities and to improve both my research and teaching activity in the field of Economic Informatics.
Continuous professional development and benchmarking are essential for a teacher. The participation in specialization courses allows me to both assimilate new information and to identify new teaching approaches for my area of expertise and for the field I am interested in (Fairness, Accountability, Transparency, and Ethics in Data Processing).

Partner: Noortje Marres ​​​​​(UW). Email: N.Marres@warwick.ac.uk

Noortje Marres is Professor in the Centre for Interdisciplinary Methodologies (CIM) at the University of Warwick (UK). She studied Sociology and Philosophy of Science and Technology at the University of Amsterdam and has published two monographs: Material participation (2012) and Digital Sociology (2017). She is the UK PI for the ESRC-funded international project Shaping AI: Controversy and Closure in Research, Policy and Media and a visiting professor in the Centre for Media of Cooperation at the University of Siegen. More info at http://noortjemarres.net/

Partner: Dimitris Kotzinos ​​​​​(CY). Email: dimitrios.kotzinos@cyu.fr

Dimitris Kotzinos is a Professor at the Department of Computer Science of the CY Cergy Paris University, member of the ETIS Lab and member of the MIDI team of the lab. His main research interests include data management algorithms, techniques and tools; development of methodologies, algorithms and tools for web-based information systems, portals and web services; and the understanding of the meaning (semantics) of interoperable data and services on the web. Recently he has started working on studying the formation and evolution of discussions in online social networks using Machine Learning (ML) and Artificial Intelligence (AI) techniques. Additionally, he has started working in the area of accountability, explainability and fairness of the ML and AI algorithms, especially when applied in data engineering and analysis problems.